Vector Databases

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

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

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.

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.

Memory library for building stateful agents

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.

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.

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.

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.

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).

🧠 AI-powered enterprise search engine 🔎

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .