Tag: #vector-database
94 packages • ⭐ 163,933 total stars
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable,
AI + Data, online. https://vespa.ai
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
A simple, fast and versatile Datalog database
Humans and AI agents, building knowledge bases together. Self-hosted document annotation, version control, semantic search, and MCP.
Benchmark for vector databases.
Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local Claude Plugin or MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra
Nornicdb is a low-latency, Graph + Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Uses Neo4j Bolt/Cypher and qdrant's gRPC drivers so you can switch with no changes. T
✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
JavaScript/Typescript SDK for Qdrant Vector Database
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
Framework for benchmarking vector search engines
A curated list of awesome works related to high dimensional structure/vector search & database
Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.
The official TypeScript/Node client for the Pinecone vector database
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
High-Performance Engine for Multi-Vector Search
The Go client for Chroma vector database
Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.
Advanced AI Real Estate Assistant using RAG, LLMs, and Python. Features market analysis, property valuation, and intelligent search.
Official repository of the Seismic library.
The documentation for SurrealDB, powered by Astro
Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.
Official Weaviate TypeScript Client
OasisDB: A minimal and lightweight vector database
Website for the Weaviate vector database
TopK is a search engine for the AI era.
Your Very Own Agent: The Ultimate, Complete Edition
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
Lance Namespace interface and plugin registry
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,
The Developer's Guide to AI - A Field Guide for the Working Developer
A lightweight, embeddable vector database library for Go AI projects.
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.
A unified SDK for IronCore encryption operations including vector encryption for AI data
RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS
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.
A universal CLI for Weaviate, Milvus, Chroma, Qdrant, and other vector DBs to help view, list, create, delete, and search collections and documents in collections for development, test, and debugging
A curated list of vector database solutions, libraries, and resources for AI applications - https://vectordb.works
Embedded database for agentic memory — relational, graph, and vector under unified MVCC transactions
Modular, level-based project template for Claude Code + Obsidian + Figma. Pick your maturity level (L1-L4). Plug in your specs. Ship.
A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity — handles typos, transpositions, and blind continuation. Zero-al
Local AI server with persistent memory, RAG, and multi-backend inference (MLX / llama.cpp / Ollama). Runs entirely on your machine — zero data sent to external services.
Apache Arrow Flight clustered vector cache for high throughput Agent memory sharing
AI News Scraper & Semantic Search: A Python application that scrapes news articles, uses GenAI to generate summaries and identify topics, and provides semantic search capabilities through vector embed
Search your files by talking to them - 100% offline
⚡💾 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
🤖 Transform internal knowledge retrieval with a secure, on-premise RAG-powered chatbot that enhances efficiency through natural language queries.
🔧 Enable seamless Android app hooking with Vector, a Zygisk module offering a consistent API for module developers and users, built on the LSPlant framework.
The first cinematic 3D memory layer for the AI Era. Unify ChatGPT, Claude, and Gemini into a pulsing second brain. Real-time semantic extraction & 3D visualization.
Themis Database System - High-performance C++ hybrid-database (graph-vector-relational-file) with AQL support and MVCC
🚀 Build and explore multi-agent AI workflows with ready-to-use projects for document serving, Q/A bots, and orchestration.
The graph-native hybrid retrieval engine for AI and GraphRAG. Graph + Vector + Full-Text in a single transactional engine.
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
🤖 Enhance chatbot accuracy with a self-correcting RAG system that ingests documents, retrieves data, and evaluates responses in real-time.
⚡ Enable real-time communication with Claude using this WebSocket server, designed for easy deployment and integration with the Claude Agent SDK.
🤖 Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.
🧠 Enhance AI conversations with Cognio, a persistent memory server that retains context and enables meaningful semantic search across sessions.
🗓️ Simplify booking with this AI service agent that processes queries, finds local options, and offers immediate slots and notifications.
Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API
🛒 Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.
🔍 Enhance code search accuracy with Smart Coding MCP, an AI-driven server that uses intelligent embeddings for quick, relevant results.
🚀 Build and scale reliable Retrieval-Augmented Generation (RAG) systems with this curated collection of tools, frameworks, and best practices.
🚀 Build an enterprise-ready RAG system to enhance technical documentation querying with LangGraph and multi-step reasoning workflows.
🧠 Enhance LLM agents with an agentic memory system, featuring automatic note construction, dynamic memory updates, and intelligent semantic retrieval.
🔍 Implement hybrid search using Vespa and FastAPI, blending BM25 and dense semantic retrieval for efficient, accurate information retrieval.
📚 Learn from diverse sources with OmniLearnAI, an intelligent platform that combines documents, videos, and more, all with reliable citations.
🚀 Connect your IDE or AI assistant to the Codex CLI with this open-source MCP server for efficient automation and robust code analysis.
🛠️ Simplify your tasks with MineContext, an open-source AI tool that provides context-aware support for clarity and efficiency in work and study.
Detect physical hits on your laptop and play audio responses using sensors in a lightweight, cross-platform binary.
🤖 Recommend TV shows by matching favorites, averaging embeddings, and finding similar titles using fuzzy search and vector similarity.
BRUNELLA AGENT SYSTEM (BAS) – A JÖVŐ DIGITÁLIS SZERVEZETE
⚡ Optimize vector searches with a hyper-efficient cache that uses machine learning for faster, smarter data access and reduced costs.
📷 Transform any camera into ROS2 image topics for seamless integration with robotic systems and effective VLA model deployment.
🧠 Explore a FAIR-compliant knowledge graph that analyzes ancient debates on free will, fate, and moral responsibility from the 6th century BCE to CE.
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📰 Fetch and summarize news articles locally using a Retrieval-Augmented Generation system powered by AI models for efficient information access.
🛠️ Simplify tool calls for any LLM with AnyToolCall, an OpenAI-compatible middleware that bypasses native constraints through prompt injection.
🚀 Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.
🧠 Capture and manage your team's knowledge effortlessly with Eywa, ensuring no valuable memory is ever lost.
Syllabus-aware RAG study assistant for university students. Answers strictly from your own notes & PDFs, unit-scoped retrieval, cross-encoder reranking, and a hallucination gate — built to help studen
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