Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

LlamaIndex is a data framework for your LLM applications

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​.

High quality resources & applications for LLMs, multi-modal models and VectorDBs

Semantic Search on Movies with Chroma DB in JavaScript

An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to integrate, test, and deploy sophisticated AI features to Firebase or Google Cloud.

aerospike-vector-search-examples

Deterministic LLMs Outputs for AI Applications and AI Agents

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Java version of LangChain

🎩 Magic in Pocket / 🪄 口袋里的“魔法”.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Fast vector search for SQLite

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

Website for the Weaviate vector database

The documentation for SurrealDB, powered by Docusaurus

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.

A cloud-native vector database, storage for next generation AI applications

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

VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.