A vector index built on TurboQuant, written in Rust with Python bindings
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- avx512
- embeddings
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A vector index built on TurboQuant, written in Rust with Python bindings
An open lakehouse engine — Postgres-native, vector-native and Python-native. Speaks PostgreSQL, runs on your object storage, written in Rust.
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.