Master retrieval-augmented generation—from vector search to production-grade knowledge systems

Learn from Industry Leaders about:

• Graph RAG and knowledge graph integration for complex, relational enterprise data
• Hybrid search: combining vector search and BM25 for precision at scale
• Embedding models, chunking strategies, and indexing for domain-specific retrieval
• Reranking, query routing, and intent-based retrieval for advanced RAG pipelines
• Evaluating RAG quality: benchmarking retrieval without large labeled datasets
• Vector database selection and optimization: Weaviate, Qdrant, pgvector in production