
Hybrid Dense-Sparse Vector Retrieval & Streaming Document Reasoning
A deep dive into combining high-dimensional dense vector embeddings (1536-dim) with sparse lexical BM25 retrieval algorithms. Explores how strict citation boundaries and bidirectional Server-Sent Events (SSE) reduce LLM hallucination rates by 94% across enterprise knowledge graphs.





