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

yantrikdb

Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). AGPL.

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, ..

vectlite

Embedded vector store for local-first AI applications.

brinicle

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

oniondb

A geometric memory database with importance-stratified shells, HNSW acceleration, and mass-weighted decay scoring. Zero to hero: SQLite → 10M+ records.

annlite

⚡ A fast embedded library for approximate nearest neighbor search

alayalite

AlayaLite – A Fast, Flexible Vector Database for Everyone.

llama-index-vector-stores-zeusdb

ZeusDB vector database integration for LlamaIndex. Connect LlamaIndex's RAG framework with enterprise-grade vector database capabilities.

engram-memory-system

Memory system for AI agents with hybrid retrieval, MCP tooling, and LongMemEval-leading performance.

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, ..

tool-compass

Semantic MCP tool discovery gateway — find tools by intent, not memory. Install via npx, pip, or Docker. CLI + MCP server, RFC 9457 errors, graceful Ollama-offline, OpenTelemetry metrics.

iscc-usearch

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

graphstore

Memory infrastructure for AI agents!! store, recall by meaning or association, ingest documents, and track beliefs in one Python library.

pyvicinity

Approximate nearest-neighbor search

citrusdb

open-source vector database. store and retrieve embeddings for your next ai project!

hannoy

Production-ready KV-backed HNSW implementation in Rust using LMDB

instant-distance

Fast approximate nearest neighbor searching in Rust, based on HNSW index