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

LlamaIndex is a data framework for your LLM applications

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

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

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

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​.

Personalizing LLM Responses

🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!

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

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

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

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.

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

Self-organizing AI note-taking app that runs models locally.

Java version of LangChain

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

LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources.

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

Distributed vector search for AI-native applications

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