Build a RAG Pipeline
Difficulty: intermediate
Build a retrieval-augmented generation system from document ingestion to answer quality
Step 1: Prepare your documents
Recommended: Unstructured, Firecrawl
Extract clean text from PDFs, web pages, and other document formats
Step 2: Choose a vector database
Recommended: ChromaDB, Weaviate, Qdrant, Pinecone
ChromaDB for prototyping, Weaviate/Qdrant for production, Pinecone for managed
Step 3: Build the RAG pipeline
Recommended: LlamaIndex, LangChain, Haystack
LlamaIndex is RAG-focused, LangChain is general-purpose, Haystack is production-ready
Step 4: Evaluate and iterate
Use Ragas metrics to measure quality, Langfuse to trace and debug