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Added cookbook on evaluating RAG pipeline using UpTrain AI and Mistral AI #16

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Added cookbook on evaluating RAG pipeline using UpTrain AI and Mistral AI #16

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f17ea5e
Added Cookbook to evaluate a RAG pipeline using UpTrain
shrjain1312 Mar 12, 2024
1626adb
updated readme
shrjain1312 Mar 12, 2024
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -29,4 +29,5 @@ Notebook |Category| Description
[function_calling.ipynb](https://github.com/mistralai/cookbook/blob/main/function_calling.ipynb) | function calling| Use Mistral API for function calling
[langgraph_crag_mistral.ipynb](langgraph_crag_mistral.ipynb) | RAG | Corrective RAG using self-reflection with LangGraph and Mistral with option to run locally (with Ollama).
[llamaindex_agentic_rag.ipynb](https://github.com/mistralai/cookbook/blob/main/llamaindex_agentic_rag.ipynb) | RAG, agent| Use Mistral AI with LlamaIndex and ReAct agent
[haystack_chat_with_docs.ipynb](https://github.com/mistralai/cookbook/blob/main/haystack_chat_with_docs.ipynb) | RAG, embeddings | Use Mistral AI with Haystack indexing and RAG pipelines
[haystack_chat_with_docs.ipynb](https://github.com/mistralai/cookbook/blob/main/haystack_chat_with_docs.ipynb) | RAG, embeddings | Use Mistral AI with Haystack indexing and RAG pipelines
[uptrain_rag_evaluations.ipynb](https://github.com/mistralai/cookbook/blob/main/uptrain_rag_evaluations.ipynb) | RAG, evaluation | Evaluation of a RAG Pipeline using UpTrain with Mistral AI
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