Hnsw Python Packages

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

voyager

🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

vicinity

Lightweight Nearest Neighbors with Flexible Backends

zvec

A lightweight, lightning-fast, in-process vector database

velesdb

VelesDB is a local‑first AI data engine written in Rust that unifies vectors, full‑text and graph in a single file with a familiar SQL‑like language. Instead of sending every RAG or semantic search query to a remote cluster, VelesDB runs directly on your server, laptop, browser, mobile or edge device — no cloud dependency, no external services, ..

llama-index-vector-stores-velesdb

VelesDB is a local‑first AI data engine written in Rust that unifies vectors, full‑text and graph in a single file with a familiar SQL‑like language. Instead of sending every RAG or semantic search query to a remote cluster, VelesDB runs directly on your server, laptop, browser, mobile or edge device — no cloud dependency, no external services, ..

langchain-velesdb

VelesDB is a local‑first AI data engine written in Rust that unifies vectors, full‑text and graph in a single file with a familiar SQL‑like language. Instead of sending every RAG or semantic search query to a remote cluster, VelesDB runs directly on your server, laptop, browser, mobile or edge device — no cloud dependency, no external services, ..

brinicle

A resource-efficient C++ vector index engine built for low-RAM production workloads

engram-memory-system

Cognitive memory system with hybrid retrieval, entity graphs, and memory lifecycle. 98.1% R@5 on LongMemEval.

annlite

⚡ A fast embedded library for approximate nearest neighbor search

alayalite

AlayaLite – A Fast, Flexible Vector Database for Everyone.

vector-inspector

A comprehensive desktop application for visualizing, querying, and managing vector database data

haystack-velesdb

VelesDB is a local‑first AI data engine written in Rust that unifies vectors, full‑text and graph in a single file with a familiar SQL‑like language. Instead of sending every RAG or semantic search query to a remote cluster, VelesDB runs directly on your server, laptop, browser, mobile or edge device — no cloud dependency, no external services, ..

iscc-usearch

Scalable approximate nearest neighbor search for variable-length binary bit-vectors using NPHD metric.

tool-compass

Semantic MCP tool discovery gateway — find tools by intent, not memory. CLI + MCP server, graceful Ollama-offline, trace_id observability, Prometheus /metrics, multi-arch Docker.

graphstore

Agentic brain DB - the cognitive layer for AI agents

vectlite

Embedded vector store for local-first AI applications.

hannoy

HNSW Approximate Nearest Neighbors in Rust, based on LMDB and optimized for memory usage

instant-distance

Fast minimal implementation of HNSW maps for approximate nearest neighbors searches

pyvicinity

Approximate nearest-neighbor search

feather-db

Embedded vector database + living context engine Part of Hawky.ai — AI-Native Digital Marketing OS

kektordb-client

An official Python client for KektorDB. AI memory system combining vector search with temporal knowledge graph. Built-in cognitive engine for agents. Supports memory decay, contradiction detection, and MCP integration.

flatnav

A performant graph-based kNN search library with re-ordering.

citrusdb

(distributed) vector database