From bd9b5dc2f341da04079e5dee055ee6fca781f1bd Mon Sep 17 00:00:00 2001 From: Pranav Agarwal <119924780+pranava-amzn@users.noreply.github.com> Date: Fri, 8 Mar 2024 16:52:36 -0800 Subject: [PATCH] docs: Updating cookbook README for amazon personalize (#17854) This PR is a successor to this PR - https://github.com/langchain-ai/langchain/pull/17436 This PR updates the cookbook README with the notebook so that it is available on langchain docs for discoverability. cc: @baskaryan, @3coins --------- Co-authored-by: Bagatur --- cookbook/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/cookbook/README.md b/cookbook/README.md index 55c3a1cfd8a..aebb3e3683b 100644 --- a/cookbook/README.md +++ b/cookbook/README.md @@ -8,6 +8,7 @@ Notebook | Description [Semi_Structured_RAG.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/Semi_Structured_RAG.ipynb) | Perform retrieval-augmented generation (rag) on documents with semi-structured data, including text and tables, using unstructured for parsing, multi-vector retriever for storing, and lcel for implementing chains. [Semi_structured_and_multi_moda...](https://github.com/langchain-ai/langchain/tree/master/cookbook/Semi_structured_and_multi_modal_RAG.ipynb) | Perform retrieval-augmented generation (rag) on documents with semi-structured data and images, using unstructured for parsing, multi-vector retriever for storage and retrieval, and lcel for implementing chains. [Semi_structured_multi_modal_RA...](https://github.com/langchain-ai/langchain/tree/master/cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb) | Perform retrieval-augmented generation (rag) on documents with semi-structured data and images, using various tools and methods such as unstructured for parsing, multi-vector retriever for storing, lcel for implementing chains, and open source language models like llama2, llava, and gpt4all. +[amazon_personalize_how_to.ipynb](https://github.com/langchain-ai/langchain/blob/master/cookbook/amazon_personalize_how_to.ipynb) | Retrieving personalized recommendations from Amazon Personalize and use custom agents to build generative AI apps [analyze_document.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/analyze_document.ipynb) | Analyze a single long document. [autogpt/autogpt.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/autogpt/autogpt.ipynb) | Implement autogpt, a language model, with langchain primitives such as llms, prompttemplates, vectorstores, embeddings, and tools. [autogpt/marathon_times.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/autogpt/marathon_times.ipynb) | Implement autogpt for finding winning marathon times.