Vector database
A vector index built on TurboQuant, written in Rust with Python bindings
AI-powered analysis engine for Argentine government open data. Multi-agent pipeline (LangGraph) with 10 data connectors, NL2SQL, semantic caching, and real-time streaming. Built with FastAPI, PostgreSQL + pgvector, Celery, and Gemini/Claude LLMs.
Summon it with a keystroke, throw in anything you want to remember or ask your own memory. A local LLM agent that restructures your knowledge into a vectorized DB. fully private, zero cloud.
Local dual-layer memory for AI agents using a compressed index plus vector retrieval
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
RAG system combining Docling document processing with ChromaDB vector storage to power openclaw
[H] HyperspaceDB is a high-performance, vector database. It features 1-bit quantization, async replication, and native support for hierarchical datasets (Lorentz, Poincaré ball & Hybrid models).
Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/
OpenCode plugin that gives coding agents persistent memory using local vector database
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
基于 Spring Boot 4.0 + Java 21 + Spring AI + PostgreSQL + pgvector + RustFS + Redis，实现简历智能分析、AI模拟面试、知识库RAG检索等核心功能。非常适合作为学习和简历项目，学习门槛低。
AI-powered YouTube search. Index any channel, playlist, or video and search through transcripts with natural language. Uses Gemini embeddings + ChromaDB for semantic search. Click any result to jump to the exact timestamp. React + FastAPI + LangChain. Self-hosted, BYOK (bring your own key).
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. Then, adding intelligent features like schemas, managed embeddings, LLM reranking+inferrence, GPU accel, Auto-TLP, Memory Decay, and MCP server.
A modern desktop application for exploring, managing, and analyzing vector databases
RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.
The AI-Native Search Database. Unifies vector, text, structured and semi-structured data in a single engine, enabling hybrid search and in-database AI workflows.
A high-performance vector database library for Python that provides efficient storage, indexing, and search capabilities for high-dimensional vectors
🐕 your loyal digital companion who finds files the way you think about them.