From 93ae589f1bd11f992eff5018660b667b2e15e585 Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Fri, 10 Nov 2023 11:56:44 -0800 Subject: [PATCH] Add mongo parent template to index (#13222) --- templates/docs/INDEX.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/templates/docs/INDEX.md b/templates/docs/INDEX.md index f9d24400a1d38..ab2a1519aa2e0 100644 --- a/templates/docs/INDEX.md +++ b/templates/docs/INDEX.md @@ -19,7 +19,7 @@ These templates cover advanced retrieval techniques, which can be used for chat - [Reranking](../rag-pinecone-rerank): This retrieval technique uses Cohere's reranking endpoint to rerank documents from an initial retrieval step. - [Anthropic Iterative Search](../anthropic-iterative-search): This retrieval technique uses iterative prompting to determine what to retrieve and whether the retriever documents are good enough. -- [Neo4j Parent Document Retrieval](../neo4j-parent): This retrieval technique stores embeddings for smaller chunks, but then returns larger chunks to pass to the model for generation. +- **Parent Document Retrieval** using [Neo4j](../neo4j-parent) or [MongoDB](../mongo-parent-document-retrieval): This retrieval technique stores embeddings for smaller chunks, but then returns larger chunks to pass to the model for generation. - [Semi-Structured RAG](../rag-semi-structured): The template shows how to do retrieval over semi-structured data (e.g. data that involves both text and tables). - [Temporal RAG](../rag-timescale-hybrid-search-time): The template shows how to do hybrid search over data with a time-based component using [Timescale Vector](https://www.timescale.com/ai?utm_campaign=vectorlaunch&utm_source=langchain&utm_medium=referral).