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Add cookbook on RAG observability with LangChain and MLflow
Summary
Briefly describe the changes and the goal of this PR. Make sure the PR title summarizes the changes effectively.
This PR adds a new cookbook demonstrating an observability tool (MLflow Tracing) when building a RAG chain with LangChain and OpenAI.
Motivation
Why are these changes necessary? How do they improve the cookbook?
There are a few cookbooks on RAG at the moment, but none of them have observability as a focus. This notebook links together a few open source libraries to showcase new debugging tools (e.g. tracing) and how they can be helpful when building a RAG application.
For new content
When contributing new content, read through our contribution guidelines, and mark the following action items as completed:
- [x] I have added a new entry in registry.yaml (and, optionally, in authors.yaml) so that my content renders on the cookbook website.
- [x] I have conducted a self-review of my content based on the contribution guidelines:
- [x] Relevance: This content is related to building with OpenAI technologies and is useful to others.
- [x] Uniqueness: I have searched for related examples in the OpenAI Cookbook, and verified that my content offers new insights or unique information compared to existing documentation.
- [x] Spelling and Grammar: I have checked for spelling or grammatical mistakes.
- [x] Clarity: I have done a final read-through and verified that my submission is well-organized and easy to understand.
- [x] Correctness: The information I include is correct and all of my code executes successfully.
- [x] Completeness: I have explained everything fully, including all necessary references and citations.
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