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​.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

Use the universal VDF format for vector datasets to easily export and import data from all vector databases

The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

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

In-memory vector key value store

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.

The primary goal of Qdrant Stars is to recognize, reward, and support our most active and helpful users making significant contributions to the vector search community. The Qdrant Stars Handbook is your go-to resource for navigating the Stars program and how to take the most advantage of it.

Data Infrastructure for Multimodal AI: Data, models, and orchestration in a unified declarative interface.

Your GenAI RAG-based Virtual Agent

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

Cloud-native vector similarity search and storage with efficient, serverless scale-out

Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.

Java version of LangChain

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

Efficient calculation of similarity between text embeddings using vector database

All in One Graph Extension for Postgres