AI Agents, Hybrid Search, and Indexing with LangChain and MongoDB

MongoDB has been developing tooling to help developers create advanced AI applications using LangChain, a framework for performing multi-agent orchestration. The integration of LangGraph into MongoDB simplifies the creation of applications using large language models (LLMs), including AI agents that require memory to maintain context across multiple interactions. Additionally, MongoDB has added two new custom Retrievers to the langchain-mongodb Python package, making it easier than ever to use the full capabilities of MongoDB Vector Search with LangChain. Furthermore, MongoDB now supports the LangChain Indexing API for seamless loading and synchronization of documents from any source into MongoDB, leveraging LangChain's intelligent indexing features.