RAG Chatbot with Observability & Traceability- Part5
Автор: TechSnazAI
Загружено: 2026-01-20
Просмотров: 16
Production RAG Chatbot using Ollama Embeddings + Groq LLM + Chroma Vector DB (FastAPI)#RAG #AI #GenAI #LangChain #LLM #FastAPI #VectorDatabase #FAISS #Chatbot #AIProjects
In this video, we build a REAL production-grade Retrieval-Augmented Generation (RAG) chatbot end-to-end with observability, tracing, logging, and source attribution.
What you’ll learn in this video:
RAG architecture explained (Retrieval + Generation)
Ingestion pipeline (PDF/TXT → chunking → embeddings)
Ollama embeddings (free local embedding model)
Persistent FAISS vector database (save + load index)
Vector retrieval (Top-K search)
Traceability: return sources + chunk IDs
Groq LLM integration for fast inference
FastAPI production API endpoints (/ask, /health)
Observability: structured logs + trace IDs + monitoring
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#RAG #RetrievalAugmentedGeneration #Groq #Ollama #FAISS #VectorDatabase #LangChain #FastAPI #GenAI #LLMOps #mlops
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