🥬MongoDB Parent Document Retriever The fact that @MongoDB is a full-fledged document store, with its own query language, makes it perfect for more advanced retrieval techniques like "Parent Document Retrieval" - so we added a template to get started easily 👨‍👨‍👦Parent Document Retrieval is a retrieval technique where you first create larger "parent" documents, and then create smaller "child" chunks for each of those documents. You then create embeddings for all of the CHILD chunks 🔎During retrieval, you first look up semantically similar child chunks. The fact that you are looking up smaller chunks helps find the most relevant chunks 📃The issue with looking up smaller chunks, is that if you pass those directly to the LLM they may lack the necessary context. Parent Document Retriever overcomes this by passing NOT the child chunks, but instead the parent documents, to the LLM s/o @zhanghaili0610 for this awesome diagram Check out the full 🦜🏗️ @MongoDB LangChain Template for an easy way to get started with this: github.com/langchain-ai/lang…