added image to getting started

README.md

@@ -50,6 +50,8 @@ response = client.chat.completions.create(
 )
 ```
 
+![Just call OpenAI](https://rpnutzemutbrumczwvue.supabase.co/storage/v1/object/public/assets/IMG_0180.jpg)
+
 You can also use The Pipe from the command line. Here's how to recursively extract from a directory, matching only a specific file type:
 ```bash
 thepipe path/to/folder --match *jsx
@@ -89,7 +91,7 @@ The input source is either a file path, a URL, or a directory. The pipe will ext
   ...
 ]
 ```
-The text and images from these messages may also be prepared for a vector database with `thepipe.core.create_chunks_from_messages` or for downstream use with RAG frameworks such as Llamaindex or Langchain. [LiteLLM](https://github.com/BerriAI/litellm) can be used to easily integrate The Pipe with any LLM provider. 
+The text and images from these messages may also be prepared for a vector database with `thepipe.core.create_chunks_from_messages` or for downstream use with RAG frameworks. [LiteLLM](https://github.com/BerriAI/litellm) can be used to easily integrate The Pipe with any LLM provider. 
 
 It uses a variety of heuristics for optimal performance with vision-language models, including AI filetype detection with [filetype detection](https://opensource.googleblog.com/2024/02/magika-ai-powered-fast-and-efficient-file-type-identification.html), opt-in AI [PDF extraction](thepi.pe/docs), efficient [token compression](https://arxiv.org/abs/2403.12968), automatic [image encoding](https://en.wikipedia.org/wiki/Base64), [reranking](https://arxiv.org/abs/2310.06839) for [lost-in-the-middle](https://arxiv.org/abs/2307.03172) effects, and more, all pre-built to work out-of-the-box.