Records found: 5
'A hands-on guide to building an agentic decision-tree RAG system that routes queries, retrieves relevant context, generates answers, and refines them via self-checks and iterations.'
'Hands-on tutorial showing how to build a Colab-based enterprise AI assistant using open-source models and FAISS for retrieval, including PII redaction and policy enforcement.'
'Hands-on tutorial: build an Agentic RAG pipeline that decides whether to retrieve, picks the right retrieval strategy, and synthesizes context-rich answers using embeddings and FAISS.'
'Learn how to build an AI agent that summarizes recent conversations for short-term context and stores distilled facts in a FAISS-backed vector memory for long-term recall.'
This guide shows how to build a semantic search and question-answering system using Together AI embeddings, FAISS vector search, and LangChain, all in a modular and efficient pipeline.