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HEKTOR
High-performance C++ vector search engine with BM25 + semantic hybrid search.
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About this project
HEKTOR is a high-performance C++ vector search engine with BM25 + semantic hybrid search, built for AI agents and RAG pipelines.
HEKTOR is a high-performance vector search engine written in C++ with Python bindings. It combines BM25 full-text search with semantic/embedding-based retrieval for true hybrid search — built for AI agents, RAG pipelines, and production-grade retrieval infrastructure.
Key Features
- Hybrid Search: BM25 + dense vector retrieval in a single query
- C++ Core: Maximum throughput with minimal latency
- Python Bindings: Drop-in for AI/ML pipelines
- AI Infrastructure: Built for embedding-based retrieval at scale
- Zero Dependencies: Self-contained, easy to deploy
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