Learn to build a production-ready Retrieval-Augmented Generation system from scratch. We'll combine LangChain's RAG framework with Pinecone's vector database to create an AI assistant that answers questions from your documents with source citations.
Most AI agents forget everything between interactions. Learn how to build persistent memory into your agents using conversation buffers, vector stores, and retrieval patterns—so your agent remembers users across sessions.
A hands-on guide to building reliable AI agents using modern frameworks. Covers architecture patterns, tool use, memory systems, and deployment strategies that work in production.
