diff --git a/.env.example b/.env.example
index 6048e7e..27bafc1 100644
--- a/.env.example
+++ b/.env.example
@@ -2,4 +2,6 @@ OPENAI_API_KEY = "YOUR-KEY"
 HUGGINGFACEHUB_API_TOKEN = "YOUR-KEY"
 COHERE_API_KEY = "YOUR-KEY"
 REPLICATE_API_TOKEN = "YOUR-KEY"
-GOOGLE_API_KEY = "YOUR-KEY"
\ No newline at end of file
+GOOGLE_API_KEY = "YOUR-KEY"
+MISTRAL_API_KEY = "YOUR-KEY"
+ANTHROPIC_API_KEY = "YOUR-KEY"
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 4edadf3..44aaaa2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -174,3 +174,4 @@ DEL_setup.py
 readme - SAMPLE.md
 quke/temp.yaml
 quke/wip.py
+.aider*
diff --git a/.vscode/settings.json b/.vscode/settings.json
index cc2e7ff..e46eee3 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -12,7 +12,7 @@
         "editor.defaultFormatter": "ms-python.black-formatter",
         "editor.formatOnSave": true,
         "editor.codeActionsOnSave": {
-            "source.organizeImports": true
+            "source.organizeImports": "explicit"
         },
     },
     "isort.args":["--profile", "black"],
diff --git a/README.md b/README.md
index 606eeb5..73427e8 100644
--- a/README.md
+++ b/README.md
@@ -49,7 +49,7 @@
 <h3 align="center">quke</h3>
 
   <p align="center">
-    Compare the answering capabilities of different LLMs - for example LlaMa, ChatGPT, Cohere, Falcon - against user provided document(s) and questions.
+    Compare the answering capabilities of different LLMs - for example LlaMa, GPT4o, Mistral, Claude, Cohere, others - against user provided document(s) and questions.
     <br />
     <a href="https://github.com/ejoosterop/quke"><strong>Explore the docs »</strong></a>
     <br />
diff --git a/poetry.lock b/poetry.lock
index 7def359..50b96bf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,112 +1,111 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.4"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.3.4-py3-none-any.whl", hash = "sha256:40a16ceffcf1fc9e142fd488123b2e218abc4188cf12ac20c67200e1579baa42"},
+    {file = "aiohappyeyeballs-2.3.4.tar.gz", hash = "sha256:7e1ae8399c320a8adec76f6c919ed5ceae6edd4c3672f4d9eae2b27e37c80ff6"},
+]
 
 [[package]]
 name = "aiohttp"
-version = "3.8.5"
+version = "3.10.0"
 description = "Async http client/server framework (asyncio)"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = ">=4.0.0a3,<5.0"
 attrs = ">=17.3.0"
-charset-normalizer = ">=2.0,<4.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -122,6 +121,17 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -134,13 +144,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.0.0"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -148,38 +158,42 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.22)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
-name = "async-timeout"
-version = "4.0.2"
-description = "Timeout context manager for asyncio programs"
+name = "asgiref"
+version = "3.8.1"
+description = "ASGI specs, helper code, and adapters"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
+[package.extras]
+tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
+
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "backoff"
@@ -194,142 +208,262 @@ files = [
 
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+version = "4.2.0"
 description = "Modern password hashing for your software and your servers"
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-python-versions = ">=3.6"
+python-versions = ">=3.7"
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 ]
 
 [package.extras]
 tests = ["pytest (>=3.2.1,!=3.3.0)"]
 typecheck = ["mypy"]
 
+[[package]]
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+version = "1.34.151"
+description = "The AWS SDK for Python"
+optional = false
+python-versions = ">=3.8"
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+[package.extras]
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+
+[[package]]
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+optional = false
+python-versions = ">=3.8"
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+[package.extras]
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+
+[[package]]
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+[package.extras]
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+
+[[package]]
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 [[package]]
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 python-versions = ">=3.6"
 files = [
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 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -337,30 +471,41 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.4.9"
+version = "0.5.5"
 description = "Chroma."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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-chroma-hnswlib = "0.7.2"
-fastapi = ">=0.95.2,<0.100.0"
+build = ">=1.0.3"
+chroma-hnswlib = "0.7.6"
+fastapi = ">=0.95.2"
+grpcio = ">=1.58.0"
+httpx = ">=0.27.0"
 importlib-resources = "*"
-numpy = {version = ">=1.22.5", markers = "python_version >= \"3.8\""}
+kubernetes = ">=28.1.0"
+mmh3 = ">=4.0.1"
+numpy = ">=1.22.5,<2.0.0"
 onnxruntime = ">=1.14.1"
+opentelemetry-api = ">=1.2.0"
+opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
+opentelemetry-instrumentation-fastapi = ">=0.41b0"
+opentelemetry-sdk = ">=1.2.0"
+orjson = ">=3.9.12"
 overrides = ">=7.3.1"
 posthog = ">=2.4.0"
-pulsar-client = ">=3.1.0"
-pydantic = ">=1.9,<2.0"
+pydantic = ">=1.9"
 pypika = ">=0.48.9"
-requests = ">=2.28"
+PyYAML = ">=6.0.0"
+tenacity = ">=8.2.3"
 tokenizers = ">=0.13.2"
 tqdm = ">=4.65.0"
+typer = ">=0.9.0"
 typing-extensions = ">=4.5.0"
 uvicorn = {version = ">=0.18.3", extras = ["standard"]}
 
@@ -380,21 +525,26 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cohere"
-version = "4.17.0"
+version = "5.6.2"
 description = ""
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = "<4.0,>=3.8"
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 [package.dependencies]
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-importlib_metadata = ">=6.0,<7.0"
-requests = ">=2.25.0,<3.0.0"
-urllib3 = ">=1.26,<3"
+boto3 = ">=1.34.0,<2.0.0"
+fastavro = ">=1.9.4,<2.0.0"
+httpx = ">=0.21.2"
+httpx-sse = ">=0.4.0,<0.5.0"
+parameterized = ">=0.9.0,<0.10.0"
+pydantic = ">=1.9.2"
+requests = ">=2.0.0,<3.0.0"
+tokenizers = ">=0.15,<1"
+types-requests = ">=2.0.0,<3.0.0"
+typing_extensions = ">=4.0.0"
 
 [[package]]
 name = "colorama"
@@ -426,63 +576,63 @@ cron = ["capturer (>=2.4)"]
 
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+version = "7.6.0"
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@@ -638,7 +933,8 @@ abfs = ["adlfs"]
 adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
-devel = ["pytest", "pytest-cov"]
+dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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 fuse = ["fusepy"]
@@ -648,92 +944,301 @@ github = ["requests"]
 gs = ["gcsfs"]
 gui = ["panel"]
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-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
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 oci = ["ocifs"]
 s3 = ["s3fs"]
 sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
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 tqdm = ["tqdm"]
 
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 ]
 
 [package.extras]
 test = ["Cython (>=0.29.24,<0.30.0)"]
 
+[[package]]
+name = "httpx"
+version = "0.27.0"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
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+]
+
+[package.dependencies]
+anyio = "*"
+certifi = "*"
+httpcore = "==1.*"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+
+[[package]]
+name = "httpx-sse"
+version = "0.4.0"
+description = "Consume Server-Sent Event (SSE) messages with HTTPX."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
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+]
+
 [[package]]
 name = "huggingface-hub"
-version = "0.16.4"
+version = "0.24.5"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
 filelock = "*"
-fsspec = "*"
+fsspec = ">=2023.5.0"
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -813,16 +1389,18 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic"]
-quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["torch"]
-typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "humanfriendly"
@@ -856,48 +1434,48 @@ packaging = "*"
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
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-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
+    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "8.0.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "importlib_metadata-8.0.0-py3-none-any.whl", hash = "sha256:15584cf2b1bf449d98ff8a6ff1abef57bf20f3ac6454f431736cd3e660921b2f"},
+    {file = "importlib_metadata-8.0.0.tar.gz", hash = "sha256:188bd24e4c346d3f0a933f275c2fec67050326a856b9a359881d7c2a697e8812"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
-version = "6.0.1"
+version = "6.4.0"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_resources-6.0.1-py3-none-any.whl", hash = "sha256:134832a506243891221b88b4ae1213327eea96ceb4e407a00d790bb0626f45cf"},
-    {file = "importlib_resources-6.0.1.tar.gz", hash = "sha256:4359457e42708462b9626a04657c6208ad799ceb41e5c58c57ffa0e6a098a5d4"},
+    {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
+    {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
 
 [[package]]
 name = "iniconfig"
@@ -912,13 +1490,13 @@ files = [
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
 ]
 
 [package.dependencies]
@@ -928,66 +1506,355 @@ MarkupSafe = ">=2.0"
 i18n = ["Babel (>=2.7)"]
 
 [[package]]
-name = "langchain"
-version = "0.0.285"
-description = "Building applications with LLMs through composability"
+name = "jmespath"
+version = "1.0.1"
+description = "JSON Matching Expressions"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = ">=3.7"
 files = [
-    {file = "langchain-0.0.285-py3-none-any.whl", hash = "sha256:1be2b144de1d1d9f77a7f168eeebda392b70ab00ed21b5fc8ae68c66dea22c58"},
-    {file = "langchain-0.0.285.tar.gz", hash = "sha256:68940dcffa63c6245e8986146614d3ce2eb22fec96ae831ed0cce97ccba3d427"},
+    {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
+    {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
 ]
 
-[package.dependencies]
-aiohttp = ">=3.8.3,<4.0.0"
-dataclasses-json = ">=0.5.7,<0.6.0"
-langsmith = ">=0.0.21,<0.1.0"
-numexpr = ">=2.8.4,<3.0.0"
-numpy = ">=1,<2"
-pydantic = ">=1,<3"
-PyYAML = ">=5.3"
-requests = ">=2,<3"
-SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<9.0.0"
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 [[package]]
 name = "marshmallow"
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 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 packaging = ">=17.0"
 
 [package.extras]
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-lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
+dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
-[[package]]
-name = "marshmallow-enum"
-version = "1.5.1"
-description = "Enum field for Marshmallow"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[package.dependencies]
-marshmallow = ">=2.0.0"
-
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -1134,6 +2014,98 @@ files = [
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 ]
 
+[[package]]
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@@ -1449,13 +2992,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
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-version = "3.0.2"
+version = "3.5.0"
 description = "Integrate PostHog into any python application."
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 sentry = ["django", "sentry-sdk"]
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+test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
+
+[[package]]
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+python-versions = ">=3.7"
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+[package.dependencies]
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+
+[package.extras]
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-
-[[package]]
-name = "pypdf"
-version = "3.12.2"
-description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
+name = "pyparsing"
+version = "3.1.2"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.6.8"
 files = [
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 [package.extras]
-crypto = ["PyCryptodome"]
-dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "pytest-socket", "wheel"]
-docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
-full = ["Pillow", "PyCryptodome"]
-image = ["Pillow"]
+diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypika"
@@ -1672,6 +3297,17 @@ files = [
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 ]
 
+[[package]]
+name = "pyproject-hooks"
+version = "1.1.0"
+description = "Wrappers to call pyproject.toml-based build backend hooks."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "pyreadline3"
 version = "3.4.1"
@@ -1685,13 +3321,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "7.4.0"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1723,13 +3359,13 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 
 [[package]]
 name = "python-dateutil"
-version = "2.8.2"
+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1737,18 +3373,43 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.0"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
 cli = ["click (>=5.0)"]
 
+[[package]]
+name = "python-multipart"
+version = "0.0.9"
+description = "A streaming multipart parser for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.extras]
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+
+[[package]]
+name = "pytz"
+version = "2024.1"
+description = "World timezone definitions, modern and historical"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "pyyaml"
 version = "6.0.1"
@@ -1774,6 +3435,7 @@ files = [
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@@ -1808,131 +3470,135 @@ files = [
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 ]
 
+[[package]]
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+version = "0.35.1"
+description = "JSON Referencing + Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+attrs = ">=22.2.0"
+rpds-py = ">=0.7.0"
+
 [[package]]
 name = "regex"
-version = "2023.6.3"
+version = "2024.7.24"
 description = "Alternative regular expression module, to replace re."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
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 ]
 
 [[package]]
 name = "replicate"
-version = "0.9.0"
+version = "0.30.1"
 description = "Python client for Replicate"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
+httpx = ">=0.21.0,<1"
 packaging = "*"
-pydantic = ">1"
-requests = ">2"
-
-[package.extras]
-dev = ["black", "mypy", "pytest", "responses", "ruff"]
+pydantic = ">1.10.7"
+typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "requests"
-version = "2.31.0"
+version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1947,32 +3613,48 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "requests-mock"
-version = "1.11.0"
+version = "1.12.1"
 description = "Mock out responses from the requests package"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
 files = [
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 ]
 
 [package.dependencies]
-requests = ">=2.3,<3"
-six = "*"
+requests = ">=2.22,<3"
 
 [package.extras]
 fixture = ["fixtures"]
-test = ["fixtures", "mock", "purl", "pytest", "requests-futures", "sphinx", "testtools"]
+
+[[package]]
+name = "requests-oauthlib"
+version = "2.0.0"
+description = "OAuthlib authentication support for Requests."
+optional = false
+python-versions = ">=3.4"
+files = [
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+]
+
+[package.dependencies]
+oauthlib = ">=3.0.0"
+requests = ">=2.0.0"
+
+[package.extras]
+rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
 [[package]]
 name = "rich"
-version = "13.5.2"
+version = "13.7.1"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1982,6 +3664,410 @@ pygments = ">=2.13.0,<3.0.0"
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
+[[package]]
+name = "rpds-py"
+version = "0.19.1"
+description = "Python bindings to Rust's persistent data structures (rpds)"
+optional = false
+python-versions = ">=3.8"
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 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
@@ -2080,89 +4175,125 @@ postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
 postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
+sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "starlette"
-version = "0.27.0"
+version = "0.37.2"
 description = "The little ASGI library that shines."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 anyio = ">=3.4.0,<5"
 
 [package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
+full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
 
 [[package]]
 name = "sympy"
-version = "1.12"
+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-mpmath = ">=0.19"
+mpmath = ">=1.1.0,<1.4"
+
+[package.extras]
+dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
+
+[[package]]
+name = "tabulate"
+version = "0.9.0"
+description = "Pretty-print tabular data"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.extras]
+widechars = ["wcwidth"]
 
 [[package]]
 name = "tenacity"
-version = "8.2.3"
+version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
-doc = ["reno", "sphinx", "tornado (>=4.5)"]
+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
+
+[[package]]
+name = "threadpoolctl"
+version = "3.5.0"
+description = "threadpoolctl"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
 
 [[package]]
 name = "tiktoken"
-version = "0.4.0"
+version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2174,148 +4305,329 @@ blobfile = ["blobfile (>=2)"]
 
 [[package]]
 name = "tokenizers"
-version = "0.14.0"
+version = "0.19.1"
 description = ""
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
 ]
 
 [package.dependencies]
@@ -2621,20 +5121,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.16.2"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
-    {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "24f0c604a4f5e412410de11d3947e971f1f45f6bcbc6e815968ab965c5bc822b"
+content-hash = "12a712bad5775123d327f5a1c095dddb570a8c58b5a9c5163b78c65e18cf4f20"
diff --git a/pyproject.toml b/pyproject.toml
index 63e21da..0a2c3bd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [tool.poetry]
 name = "quke"
-version = "0.5.1"
-description = "Compare the answering capabilities of different LLMs - for example LlaMa, ChatGPT, Cohere, Falcon - against user provided document(s) and questions."
+version = "0.6.0"
+description = "Compare the answering capabilities of different LLMs - for example LlaMa, GPT4o, Mistral, Claude, Cohere, others - against user provided document(s) and questions."
 authors = ["Erik Oosterop"]
 maintainers = ["Erik Oosterop"]
 license = "MIT"
@@ -17,20 +17,23 @@ quke = "quke.quke:quke"
 
 [tool.poetry.dependencies]
 python = "^3.11"
-hydra-core = "^1.3.2"
-python-dotenv = "^1.0.0"
-pymupdf = "^1.22.5"
-pypdf = "^3.12.1"
-tiktoken = "^0.4.0"
 lark = "^1.1.7"
-huggingface-hub = "^0.16.4"
-openai = "^0.27.8"
-cohere = "^4.17.0"
-replicate = "^0.9.0"
 rich = "^13.5.2"
-jinja2 = "^3.1.2"
-langchain = "^0.0.285"
-chromadb = "^0.4.9"
+pymupdf = "^1.24.9"
+langchain-community = "^0.2.10"
+langchain-core = "^0.2.25"
+jinja2 = "^3.1.4"
+python-dotenv = "^1.0.1"
+hydra-core = "^1.3.2"
+langchain-chroma = "^0.1.2"
+langchain-openai = "^0.1.19"
+sentence-transformers = "^3.0.1"
+langchain-huggingface = "^0.0.3"
+langchain-cohere = "^0.1.9"
+replicate = "^0.30.1"
+langchain-google-genai = "^1.0.8"
+langchain-mistralai = "^0.1.11"
+litellm = "^1.42.5"
 
 [tool.poetry.group.dev.dependencies]
 pytest-cov = "^4.1.0"
diff --git a/quke/conf/config.yaml b/quke/conf/config.yaml
index 6fc56c5..4c8af14 100644
--- a/quke/conf/config.yaml
+++ b/quke/conf/config.yaml
@@ -4,6 +4,17 @@ experiment_summary_file: 'chat_session.md'
 
 embed_only: False
 
+# The parameters refer to langchain_core.rate_limiters.InMemoryRateLimiter
+rate_limiters:
+  - gemini:
+      requests_per_second: 0.03
+      check_every_n_seconds: 10
+  - openai:
+      requests_per_second: 8
+      check_every_n_seconds: 5
+  - cohere:
+      requests_per_second: 0.1
+
 defaults:
   - _self_
   - llm: cohere
diff --git a/quke/conf/embedding/cohere.yaml b/quke/conf/embedding/cohere.yaml
index 9540e22..85b2280 100644
--- a/quke/conf/embedding/cohere.yaml
+++ b/quke/conf/embedding/cohere.yaml
@@ -1,5 +1,5 @@
 vectordb:
-  module_name: langchain.vectorstores
+  module_name: langchain_chroma
   class_name: Chroma
   vectorstore_location: vector_store/chromadb_cohere
 
@@ -8,18 +8,19 @@ vectordb:
   # -If the folder exists and 'no_overwrite' is specified: document will not be embedded
   # -If the folder exists and 'overwrite' is specified, all contents of the vectordb folder will be deleted and a new vectordb will be created.
   # -If set to 'append' the new embeddings will be appended to any existing vectordb. If a source document is specified twice it will be embedded twice.
-  vectorstore_write_mode: no_overwrite
+  vectorstore_write_mode: overwrite
 
 embedding:
-  module_name: langchain.embeddings
+  module_name: langchain_cohere
   class_name: CohereEmbeddings
-  kwargs: #optional
-#    repo_id: sentence-transformers/all-mpnet-base-v2
+  kwargs:
+    # model: embed-english-light-v3.0
+    # model: embed-english-v3.0
   rate_limit_chunks: 300 # max about 200 when I trialed (free account). Must depend on many considerations.
   rate_limit_delay: 60 # in seconds
 
 splitter:
-  module_name: langchain.text_splitter
+  module_name: langchain_text_splitters
   class_name: CharacterTextSplitter
   args:
     chunk_size: 1000
diff --git a/quke/conf/embedding/hf_r.yaml b/quke/conf/embedding/hf_r.yaml
index 165e567..433e7c3 100644
--- a/quke/conf/embedding/hf_r.yaml
+++ b/quke/conf/embedding/hf_r.yaml
@@ -1,5 +1,5 @@
 vectordb:
-  module_name: langchain.vectorstores
+  module_name: langchain_chroma
   class_name: Chroma
   vectorstore_location: vector_store/chromadb_hf_recursive
 
@@ -8,18 +8,18 @@ vectordb:
   # -If the folder exists and 'no_overwrite' is specified: document will not be embedded
   # -If the folder exists and 'overwrite' is specified, all contents of the vectordb folder will be deleted and a new vectordb will be created.
   # -If set to 'append' the new embeddings will be appended to any existing vectordb. If a source document is specified twice it will be embedded twice.
-  vectorstore_write_mode: overwrite
+  vectorstore_write_mode: no_overwrite
 
 embedding:
-  module_name: langchain.embeddings
-  class_name: HuggingFaceHubEmbeddings
+  module_name: langchain_huggingface.embeddings
+  class_name: HuggingFaceEmbeddings
   kwargs: #optional
-    repo_id: sentence-transformers/all-mpnet-base-v2
+#    repo_id: sentence-transformers/all-mpnet-base-v2
   rate_limit_chunks: 201 # max about 200 when I trialed (free account). Must depend on many considerations.
   rate_limit_delay: 306 # in seconds
 
 splitter:
-  module_name: langchain.text_splitter
+  module_name: langchain_text_splitters
   class_name: RecursiveCharacterTextSplitter
   args:
     chunk_size: 800
diff --git a/quke/conf/embedding/huggingface.yaml b/quke/conf/embedding/huggingface.yaml
index 7526e7a..46c1e96 100644
--- a/quke/conf/embedding/huggingface.yaml
+++ b/quke/conf/embedding/huggingface.yaml
@@ -1,5 +1,5 @@
 vectordb:
-  module_name: langchain.vectorstores
+  module_name: langchain_chroma
   class_name: Chroma
   vectorstore_location: vector_store/chromadb_hf_del
 
@@ -11,15 +11,15 @@ vectordb:
   vectorstore_write_mode: no_overwrite
 
 embedding:
-  module_name: langchain.embeddings
-  class_name: HuggingFaceHubEmbeddings
+  module_name: langchain_huggingface.embeddings
+  class_name: HuggingFaceEmbeddings
   kwargs: #optional
-    repo_id: sentence-transformers/all-mpnet-base-v2
+#    repo_id: sentence-transformers/all-mpnet-base-v2
   rate_limit_chunks: 201 # max about 200 when I trialed (free account). Must depend on many considerations.
   rate_limit_delay: 306 # in seconds
 
 splitter:
-  module_name: langchain.text_splitter
+  module_name: langchain_text_splitters
   class_name: CharacterTextSplitter
   args:
     chunk_size: 1000
diff --git a/quke/conf/embedding/openai.yaml b/quke/conf/embedding/openai.yaml
index 301a606..ae6c758 100644
--- a/quke/conf/embedding/openai.yaml
+++ b/quke/conf/embedding/openai.yaml
@@ -1,5 +1,5 @@
 vectordb:
-  module_name: langchain.vectorstores
+  module_name: langchain_chroma
   class_name: Chroma
   vectorstore_location: vector_store/chromadb_openai
 
@@ -8,18 +8,18 @@ vectordb:
   # -If the folder exists and 'no_overwrite' is specified: document will not be embedded
   # -If the folder exists and 'overwrite' is specified, all contents of the vectordb folder will be deleted and a new vectordb will be created.
   # -If set to 'append' the new embeddings will be appended to any existing vectordb. If a source document is specified twice it will be embedded twice.
-  vectorstore_write_mode: overwrite
+  vectorstore_write_mode: no_overwrite
 
 embedding:
-  module_name: langchain.embeddings
+  module_name: langchain_openai
   class_name: OpenAIEmbeddings
   kwargs: #optional
-#    repo_id: sentence-transformers/all-mpnet-base-v2
+    # model: text-embedding-3-large
   rate_limit_chunks: 200 # max about 200 when I trialed (free account). Must depend on many considerations.
   rate_limit_delay: 60 # in seconds
 
 splitter:
-  module_name: langchain.text_splitter
+  module_name: langchain_text_splitters
   class_name: CharacterTextSplitter
   args:
     chunk_size: 1000
diff --git a/quke/conf/llm/cohere.yaml b/quke/conf/llm/cohere.yaml
index 7aad6ca..2055668 100644
--- a/quke/conf/llm/cohere.yaml
+++ b/quke/conf/llm/cohere.yaml
@@ -1,6 +1,10 @@
-module_name_llm: langchain.llms
-class_name_llm: Cohere
-name: command-nightly
+module_name_llm: langchain_cohere
+class_name_llm: ChatCohere
+#name: command-nightly
+name: command-r-plus
+
+# rate_limiter is optional. If it exists it needs to refer to a limiter defined in config.yaml.
+rate_limiter: cohere
 
 llm_args:
   model: ${llm.name}
diff --git a/quke/conf/llm/falcon7b.yaml b/quke/conf/llm/falcon7b.yaml
index 8dcd1c2..687d70b 100644
--- a/quke/conf/llm/falcon7b.yaml
+++ b/quke/conf/llm/falcon7b.yaml
@@ -1,11 +1,14 @@
-module_name_llm: langchain.llms
-class_name_llm: HuggingFaceHub
+module_name_llm: langchain_huggingface
+class_name_llm: HuggingFaceEndpoint
 name: tiiuae/falcon-7b-instruct
 
+# rate_limiter is optional. If it exists it needs to refer to a limiter defined in config.yaml.
+rate_limiter: none
+
 llm_args:
   repo_id: ${llm.name}
+  temperature: 0.1
+  max_new_tokens: 512  
   model_kwargs: 
     max_length: 2000
-    temperature: 0.5
-    max_new_tokens: 200
     num_return_sequences: 3
diff --git a/quke/conf/llm/gemini.yaml b/quke/conf/llm/gemini.yaml
new file mode 100644
index 0000000..3985f4c
--- /dev/null
+++ b/quke/conf/llm/gemini.yaml
@@ -0,0 +1,10 @@
+module_name_llm: langchain_google_genai
+class_name_llm: ChatGoogleGenerativeAI
+name: gemini-1.5-pro
+
+# rate_limiter is optional. If it exists it needs to refer to a limiter defined in config.yaml.
+rate_limiter: gemini
+
+llm_args:
+  model: ${llm.name}
+  temperature: 0
\ No newline at end of file
diff --git a/quke/conf/llm/gpt4o.yaml b/quke/conf/llm/gpt4o.yaml
index 7329565..bd03865 100644
--- a/quke/conf/llm/gpt4o.yaml
+++ b/quke/conf/llm/gpt4o.yaml
@@ -1,8 +1,10 @@
-#type: OpenAI #import OpenAI maybe needed to set the API key, though langchain may just take it from env?
-module_name_llm: langchain.chat_models
+module_name_llm: langchain_openai
 class_name_llm: ChatOpenAI
 name: gpt-4o-mini
 
+# rate_limiter is optional. If it exists it needs to refer to a limiter defined in config.yaml.
+rate_limiter: openai
+
 llm_args:
   model_name: ${llm.name}
   temperature: 0
\ No newline at end of file
diff --git a/quke/conf/llm/litellm.yaml b/quke/conf/llm/litellm.yaml
new file mode 100644
index 0000000..6b8651c
--- /dev/null
+++ b/quke/conf/llm/litellm.yaml
@@ -0,0 +1,11 @@
+module_name_llm: langchain_community.chat_models
+class_name_llm: ChatLiteLLM
+#name: anthropic/claude-3-5-sonnet-20240620
+name: anthropic/claude-3
+
+# rate_limiter is optional. If it exists it needs to refer to a limiter defined in config.yaml.
+rate_limiter: none
+
+llm_args:
+  model_name: ${llm.name}
+  temperature: 0
diff --git a/quke/conf/llm/llama2.yaml b/quke/conf/llm/llama2.yaml
index 916f2bb..f970ebb 100644
--- a/quke/conf/llm/llama2.yaml
+++ b/quke/conf/llm/llama2.yaml
@@ -1,12 +1,15 @@
-module_name_llm: langchain.llms
+module_name_llm: langchain_community.llms
 class_name_llm: Replicate
 name: a16z-infra/llama-2-7b-chat:5ec5fdadd80ace49f5a2b2178cceeb9f2f77c493b85b1131002c26e6b2b13184
 #name: a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5
 
+# rate_limiter is optional. If it exists it needs to refer to a limiter defined in config.yaml.
+rate_limiter: none
+
 llm_args:
   model: ${llm.name}
   input:
-    temperature: 0.75
+    temperature: 0.1
     max_length: 500
     max_new_tokens: 500
     min_new_tokens: -1
diff --git a/quke/conf/llm/mistral.yaml b/quke/conf/llm/mistral.yaml
new file mode 100644
index 0000000..b3ddc4f
--- /dev/null
+++ b/quke/conf/llm/mistral.yaml
@@ -0,0 +1,11 @@
+module_name_llm: langchain_mistralai.chat_models
+class_name_llm: ChatMistralAI
+name: mistral-large-latest
+# mistral-large-2407
+
+# rate_limiter is optional. If it exists it needs to refer to a limiter defined in config.yaml.
+rate_limiter: none
+
+llm_args:
+  model: ${llm.name}
+  temperature: 0
\ No newline at end of file
diff --git a/quke/embed.py b/quke/embed.py
index 41d8432..a536d79 100644
--- a/quke/embed.py
+++ b/quke/embed.py
@@ -10,9 +10,9 @@
 from typing import Iterator
 
 # [ ] TODO: PyMU is faster, PyPDF more accurate: https://github.com/py-pdf/benchmarks
-from langchain.document_loaders import CSVLoader, PyMuPDFLoader, TextLoader
+from langchain_community.document_loaders import CSVLoader, PyMuPDFLoader, TextLoader
 
-from . import ClassImportDefinition, ClassRateLimit, DatabaseAction
+from quke import ClassImportDefinition, ClassRateLimit, DatabaseAction
 
 
 @dataclass
@@ -239,12 +239,10 @@ def embed_these_chunks(
     class_ = getattr(module, vectordb_import.class_name)
     vectordb_type = class_()
 
-    vectordb = vectordb_type.from_documents(
+    _ = vectordb_type.from_documents(
         documents=chunks, embedding=embedding, persist_directory=vectordb_location
     )
 
-    vectordb.persist()
-
     logging.info(f"{len(chunks)} chunks persisted into database at {vectordb_location}")
 
     return len(chunks)
diff --git a/quke/llm_chat.py b/quke/llm_chat.py
index 6b76449..d7a5b2b 100644
--- a/quke/llm_chat.py
+++ b/quke/llm_chat.py
@@ -1,4 +1,5 @@
 """Sets up all elements required for a chat session."""
+
 import importlib
 import logging  # functionality managed by Hydra
 from collections import defaultdict
@@ -7,10 +8,11 @@
 from typing import Literal
 
 from jinja2 import Environment, PackageLoader, select_autoescape
-from langchain.chains import ConversationalRetrievalChain
-from langchain.memory import ConversationBufferMemory
+from langchain.chains import create_history_aware_retriever, create_retrieval_chain
+from langchain.chains.combine_documents import create_stuff_documents_chain
+from langchain_core.prompts import ChatPromptTemplate
 
-from . import ClassImportDefinition
+from quke import ClassImportDefinition
 
 
 def chat(
@@ -56,23 +58,65 @@ def chat(
     class_ = getattr(module, llm_import.class_name)
     llm = class_(**llm_parameters)
 
-    memory = ConversationBufferMemory(
-        memory_key="chat_history",
-        return_messages=True,
-        output_key="answer",
+    if llm_parameters.get("rate_limiter") is not None:
+        logging.info("Rate limiter used by LLM.")
+    else:
+        logging.info("No rate limiter used by LLM.")
+
+    condense_question_system_template = (
+        "Given a chat history and the latest user question "
+        "which might reference context in the chat history, "
+        "formulate a standalone question which can be understood "
+        "without the chat history. Do NOT answer the question, "
+        "just reformulate it if needed and otherwise return it as is."
+    )
+
+    condense_question_prompt = ChatPromptTemplate.from_messages(
+        [
+            ("system", condense_question_system_template),
+            ("placeholder", "{chat_history}"),
+            ("human", "{input}"),
+        ]
+    )
+    history_aware_retriever = create_history_aware_retriever(
+        llm, vectordb.as_retriever(), condense_question_prompt
+    )
+
+    system_prompt = (
+        "You are an assistant for question-answering tasks. "
+        "Use the following pieces of retrieved context to answer "
+        "the question. If you don't know the answer, say that you "
+        "don't know. Use three sentences maximum and keep the "
+        "answer concise."
+        "\n\n"
+        "{context}"
     )
 
-    qa = ConversationalRetrievalChain.from_llm(
-        llm,
-        retriever=vectordb.as_retriever(),
-        memory=memory,
-        return_source_documents=True,
+    qa_prompt = ChatPromptTemplate.from_messages(
+        [
+            ("system", system_prompt),
+            ("placeholder", "{chat_history}"),
+            ("human", "{input}"),
+        ]
     )
+    qa_chain = create_stuff_documents_chain(llm, qa_prompt)
+
+    convo_qa_chain = create_retrieval_chain(history_aware_retriever, qa_chain)
 
     # NOTE: trial API keys may have very restrictive rules. It is plausible that you run into
     # constraints after the 2nd question.
 
-    results = [qa({"question": question}) for question in prompt_parameters]
+    results = [
+        convo_qa_chain.invoke(
+            {
+                "input": question,
+                "chat_history": [],
+            }
+        )
+        for question in prompt_parameters
+    ]
+
+    # results = [qa({"question": question}) for question in prompt_parameters]
     chat_output_to_html(
         results, output_file
     )  # TODO: infer output from output file name in cfg?
@@ -81,7 +125,7 @@ def chat(
 
     logging.info("=======================")
 
-    return qa
+    return results
 
 
 def chat_output_to_html(
diff --git a/quke/quke.py b/quke/quke.py
index a47b82a..58b787c 100644
--- a/quke/quke.py
+++ b/quke/quke.py
@@ -2,6 +2,7 @@
 
 LLMs, embedding model, vector store and other components can be congfigured.
 """
+
 import logging  # functionality managed by Hydra
 from pathlib import Path
 
@@ -11,7 +12,8 @@
 from omegaconf import DictConfig, OmegaConf
 from rich.console import Console
 
-from . import ClassImportDefinition, ClassRateLimit, DatabaseAction, embed, llm_chat
+from quke import ClassImportDefinition, ClassRateLimit, DatabaseAction, embed, llm_chat
+from quke import rate_limiter as qrate_limiter
 
 _ = load_dotenv(find_dotenv())
 
@@ -90,6 +92,32 @@ def __init__(self, cfg: DictConfig) -> None:
         except Exception:
             self.output_file = cfg.experiment_summary_file
 
+        self.llm_rate_limiter_name = getattr(cfg.llm, "rate_limiter", None)
+
+    def get_rate_limiter_kwargs(self) -> dict:
+        """Based on the config files returns the set of parameters needed to setup a rate limiter."""
+        if not self.llm_rate_limiter_name:
+            logging.info("No rate_limiter used as none specified in llm config file.")
+            return {}
+
+        rate_limiters = OmegaConf.to_container(self.cfg.rate_limiters, resolve=True)
+        limiter_index = next(
+            (i for i, d in enumerate(rate_limiters) if self.llm_rate_limiter_name in d),
+            -1,
+        )
+
+        if limiter_index != -1:
+            rate_limiter_config = rate_limiters[limiter_index][
+                self.llm_rate_limiter_name
+            ]
+        else:
+            logging.warning(
+                f"No rate_limiter used as the rate limiter specified in llm config file ({self.llm_rate_limiter_name}) cannot be found in config.yaml."
+            )
+            rate_limiter_config = {}
+
+        return rate_limiter_config
+
     def get_embed_params(self) -> dict:
         """Based on the config files returns the set of parameters need to start embedding."""
         return {
@@ -127,9 +155,26 @@ def get_args_dict(self, cfg_sub: dict) -> dict:
         res = OmegaConf.to_container(cfg_sub, resolve=True)
         return res if isinstance(res, dict) else {}
 
+    def create_rate_limiter(self) -> qrate_limiter.InMemoryRateLimiter:
+        """Create a new rate limiter and add it to the global dictionary."""
+        limiter_kwargs = self.get_rate_limiter_kwargs()
+
+        if limiter_kwargs:
+            rate_limiter = qrate_limiter.get_rate_limiter(
+                self.llm_rate_limiter_name, **limiter_kwargs
+            )
+            return rate_limiter
+
+        return None
+
     def get_llm_parameters(self) -> dict:
         """Based on the config files returns the set of parameters needed to setup an LLM."""
         res = OmegaConf.to_container(self.cfg.llm.llm_args, resolve=True)
+
+        rate_limiter = self.create_rate_limiter()
+        if rate_limiter:
+            res["rate_limiter"] = rate_limiter
+
         return res if isinstance(res, dict) else {}
 
     def get_chat_session_file_parameters(self, cfg: DictConfig) -> dict:
diff --git a/quke/rate_limiter.py b/quke/rate_limiter.py
new file mode 100644
index 0000000..15674a6
--- /dev/null
+++ b/quke/rate_limiter.py
@@ -0,0 +1,86 @@
+"""
+rate_limiter.py
+
+This module manages rate limiters for limiting the rate of operations, particularly useful for
+controlling the rate of requests to APIs or other rate-sensitive systems.
+
+It uses an in-memory rate limiter implementation provided by the `langchain_core.rate_limiters` 
+module. The rate limiters are stored in a global dictionary and can be retrieved or created 
+using their names.
+
+Functions:
+- create_rate_limiter(name: str, **kwargs): Creates a new rate limiter and adds it to the global 
+  dictionary if it does not already exist.
+- get_rate_limiter(name: str, **kwargs) -> InMemoryRateLimiter: Retrieves a rate limiter by name 
+  from the global dictionary. If it does not exist, it creates a new one using the provided 
+  parameters.
+
+Example usage:
+    if __name__ == "__main__":
+        # Create or get a rate limiter named 'api_limiter' with a limit of 5 requests per second
+        limiter = get_rate_limiter("api_limiter", requests_per_second=5)
+        print(limiter)
+
+Global Variables:
+- rate_limiters (Dict[str, InMemoryRateLimiter]): A global dictionary that stores rate limiters 
+  by their names.
+
+Dependencies:
+- langchain_core.rate_limiters.InMemoryRateLimiter: The in-memory rate limiter class used to 
+  instantiate rate limiters.
+
+This module is designed to be flexible and can be extended or modified to support additional 
+features or different types of rate limiters as needed.
+"""
+
+import logging  # functionality managed by Hydra
+from typing import Dict
+
+from langchain_core.rate_limiters import InMemoryRateLimiter
+
+# Global dictionary to store rate limiters by name
+rate_limiters: Dict[str, InMemoryRateLimiter] = {}
+
+
+def create_rate_limiter(name: str, **kwargs):
+    """
+    Create a new rate limiter and add it to the global dictionary.
+
+    If a limiter already exists with the same name, it will not be added.
+
+    Parameters:
+    - name (str): The name to key the rate limiter in the global dictionary.
+    - **kwargs: Arbitrary keyword arguments to pass to the InMemoryRateLimiter constructor.
+
+    Returns:
+    - None
+    """
+    # Check if the name is already in the global dictionary
+    if name in rate_limiters:
+        return
+
+    rate_limiter = InMemoryRateLimiter(**kwargs)
+
+    # Add the new rate limiter to the global dictionary
+    rate_limiters[name] = rate_limiter
+
+    logging.info(f"Rate limiter '{name}' created with parameters: {kwargs}.")
+
+
+def get_rate_limiter(name: str, **kwargs) -> InMemoryRateLimiter:
+    """
+    Retrieve an InMemoryRateLimiter from the global dictionary by name. If it does not
+    exist, create it using the create_rate_limiter function.
+
+    Parameters:
+    - name (str): The name to key the rate limiter in the global dictionary.
+    - **kwargs: Arbitrary keyword arguments to pass to the InMemoryRateLimiter constructor.
+
+    Returns:
+    - InMemoryRateLimiter: The retrieved or newly created rate limiter.
+    """
+    if name not in rate_limiters:
+        create_rate_limiter(name, **kwargs)
+
+    logging.info("Using rate limiter: " + name)
+    return rate_limiters[name]
diff --git a/quke/templates/chat_session.html.jinja b/quke/templates/chat_session.html.jinja
index 892f750..64796ff 100644
--- a/quke/templates/chat_session.html.jinja
+++ b/quke/templates/chat_session.html.jinja
@@ -19,7 +19,7 @@
         <br>
         <div>Source: </div>
         <div>
-            {% for key, value in dict_crosstab(result.source_documents).items() %}
+            {% for key, value in dict_crosstab(result.context).items() %}
             {{ key }}, pages: {{ value }}
             {% endfor %}
         </div>
diff --git a/quke/templates/chat_session.logging.jinja b/quke/templates/chat_session.logging.jinja
index c27083e..7241a44 100644
--- a/quke/templates/chat_session.logging.jinja
+++ b/quke/templates/chat_session.logging.jinja
@@ -3,6 +3,6 @@
 {% for result in llm_results %}
 Q: {{ result.question }}
 A: {{ result.answer }}
-Source: {% for key, value in dict_crosstab(result.source_documents).items() %}
+Source: {% for key, value in dict_crosstab(result.context).items() %}
     document: {{ key }}, page: {{ value }} {% endfor %}
 {% endfor %}=======================
\ No newline at end of file
diff --git a/quke/templates/chat_session.md.jinja b/quke/templates/chat_session.md.jinja
index 99f095b..f62fdfa 100644
--- a/quke/templates/chat_session.md.jinja
+++ b/quke/templates/chat_session.md.jinja
@@ -14,7 +14,7 @@ Q: {{ result.question }}
 
 A: {{ result.answer }}
 
-Source: {% for key, value in dict_crosstab(result.source_documents).items() %}
+Source: {% for key, value in dict_crosstab(result.context).items() %}
 {{ key }}, pages: {{ value }}
 {% endfor %}
 -------