For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Milvus — a leading open-source project in the AI/LLM ecosystem.

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

Qdrant — a leading open-source project in the AI/LLM ecosystem.

Open Source AI Platform - AI Chat with advanced features that works with every LLM

Knowledge Engine for AI Agent Memory in 6 lines of code

A modern replacement for Redis and Memcached

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.

Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

A vector index built on TurboQuant, written in Rust with Python bindings

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

A lightweight, lightning-fast, in-process vector database

LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Refine high-quality datasets and visual AI models

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.

Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Private & local AI personal knowledge management app for high entropy people.

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, and sanely licensed open SQL server in the industry.

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Memory library for building stateful agents

AI + Data, online. https://vespa.ai

Postgres with GPUs for ML/AI apps.

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

HelixDB is an open-source graph-vector database built from scratch in Rust.

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

Superduper: End-to-end framework for building custom AI applications and agents.

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

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.

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

ACID Document Database

OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.

Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.

LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).