Deploying a Memory-Rich Agent with FAISS + LangChain

Agents that remember are agents that improve. In this tutorial, you’ll learn how to enhance your autonomous agents with persistent, searchable memory using FAISS and LangChain. We’ll show you how to build a vectorstore for long-term knowledge retention, embed documents and interactions for recall, and implement retrieval-augmented generation (RAG) pipelines. The result is an agent that can reflect, recall past decisions, and generate contextually rich outputs based on cumulative experience.