Search results for "vector database"
It is a simple, fast, and hard-durable embedded database designed specifically for AI agent memory. It provides a single-file-like experience (no server required) but with native support for vectors,
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
OramaCore is the complete runtime you need for your projects, answer engines, copilots, and search. It includes a fully-fledged full-text search engine, vector database, LLM interface, and many more u
HelixDB is an open-source graph-vector database built from scratch in Rust.
Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring loca
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
Embedded database for agentic memory — relational, graph, and vector under unified MVCC transactions
Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.
A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!
EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 91+ formats. Available for Rust, Python
Semantic code searcher and codebase utility
A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.
An AI agent for teams, communities, and multi-user environments.
A unified SDK for IronCore encryption operations including vector encryption for AI data
The graph-native hybrid retrieval engine for AI and GraphRAG. Graph + Vector + Full-Text in a single transactional engine.
⚡💾 Vectro — Compress LLM embeddings 🧠🚀 Save memory, speed up retrieval, and keep semantic accuracy 🎯✨ Lightning-fast quantization for Python + Mojo, vector DB friendly 🗄️, and perfect for RAG pip
Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.
🧠 Capture and manage your team's knowledge effortlessly with Eywa, ensuring no valuable memory is ever lost.
🚀 Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.
Augment any database with VeriSimDB octad capabilities — drift detection, provenance, temporal versioning, modality overlays
Enable autonomous AI workflows with a local-first, zero-trust Rust framework for high-performance multi-agent orchestration and deterministic execution.
Complete open-source AI collaboration suite and multi-agent platform featuring LLM orchestration, automation, and virtual assistants. Scales seamlessly from small deployments to large enterprise envir