Databases

The source repository for Milvus's technical documentation, covering the open-source vector database's releases from 1.0.0 through its current branch.

• Databases
• Documentation tools

An open-source, self-hostable retrieval-augmented-generation platform that ingests documents, embeds and indexes them with Turbopuffer, and serves semantic, keyword and hybrid search behind one REST API.

• RAG
• Databases

An embedded, multimodal vector database built for local retrieval-augmented generation, positioned as a drop-in, GPU-accelerated backend for frameworks such as LangChain, LlamaIndex, and mem0.

• RAG
• Databases

A platform for semantic search across large video datasets, supporting text-to-video and video-to-video queries with GPU-accelerated embeddings and vector similarity search.

• RAG
• Databases

An in-memory knowledge graph server for retrieval-augmented generation that stores entities, relationships and document chunks together with their embeddings so related information stays connected during retrieval.

• RAG
• Databases

A project that indexes more than 200 million academic publication abstracts from OpenAlex into a semantic search engine, using embeddings and a fast vector index.

• RAG
• Databases

A simple wrapper that turns IndexedDB into a vector database directly in the browser, for storing and querying vector data without a server.

• Databases

A Golang database manager and code generator with a command-line interface for SQL migrations, embedded SQL scripts, and generating models from an existing schema.

• CLI tools
• Databases

An LLM-powered Slack bot that answers questions using a company's own Slack history, GitHub pull requests, and Linear issues, run on a Postgres and TimescaleDB backend.

• RAG
• Databases

A purpose-built Rust database engine for AI agent memory, combining a write-ahead log, HNSW vector search, and a knowledge graph instead of wrapping an existing database.

• Agent memory
• Databases

A Datasette plugin that adds an LLM-powered chat assistant for exploring a Datasette instance's databases and tables, plus background agents that write exploration reports.

• Databases
• Data engineering

A SQLite extension that gives AI agents persistent, searchable memory over markdown files, combining vector similarity search with full-text search and offline sync between agents.

• Agent memory
• Databases

A high-performance knowledge graph engine built for large language models and GraphRAG, using sparse matrix algebra for sub-millisecond graph traversals, with full OpenCypher query support and Python, JavaScript and Docker access.

• RAG
• Databases

A property graph database for .NET that combines graph relationships, tags, labels, JSON data, and vector search in one persistence layer, with REST, MCP, and dashboard access.

• MCP servers
• Databases

A knowledge-graph backed platform that lets multiple AI coding agents share code understanding, plans and decisions through a central Neo4j-based knowledge base, with semantic search and MCP tool integration for Claude Code and other clients.

• Agent memory
• Databases

A lightweight, in-memory vector database library for embedding semantic search into any .NET application, with customizable vector comparison and preprocessing.

• Databases

A Python tool for exploring and iterating on computer vision datasets with SQL filters, vector similarity search and a GUI dashboard, built for Ultralytics YOLO and related models.

• Databases
• Data engineering

A Blazor web app and minimal API that performs retrieval-augmented generation and vector search using the native VECTOR type in Azure SQL Database or SQL Server 2025, with Azure OpenAI and Microsoft Agent Framework.

• RAG
• Databases

A high-performance vector database using 1-bit quantization and hyperbolic geometry to model hierarchical data, aimed at autonomous agents and robotics rather than static document search.

• Agent memory
• Databases

An on-device, typed property graph database with a schema defined as version-controlled code, distributed as a single CLI with no server to run.

• Databases

An embedded, in-process vector database library for .NET that runs inside an application with no separate server, used for semantic search and retrieval-augmented generation.

• RAG
• Databases

The former standalone Model Context Protocol server for the Weaviate vector database, now deprecated in favor of an MCP server built directly into Weaviate itself.

• MCP servers
• Databases

A Rust-native embedded graph-vector database that combines OpenCypher-style querying, vector search and graph algorithms in one system for GraphRAG, knowledge graphs and large-scale relationship analytics.

• RAG
• Databases

A cognitive memory database for AI agents that actively manages what it stores, consolidating duplicates, detecting contradictions, and fading out stale memories through temporal decay.

• Agent memory
• Databases