binary-quantization

RAG Time: A 5-week Learning Journey to Mastering RAG

Implementation of the proposed MaskBit from Bytedance AI

Face search engine: 100% recall at 96x less memory than HNSW. Register photos, identify people from camera/video/images. AVX-512 + Rust. No GPU needed.

🚀 Supercharge your RAG system with binary quantization - Achieve 10x faster retrieval and 32x storage reduction. Complete implementation with Milvus, OpenAI embeddings, and practical examples.

Header-only C++17 vector search for edge devices: binary quantization + HNSW + mmap. 32x smaller vectors, zero-allocation queries, ~0.1s startup from a persisted graph.