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

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

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

Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

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

🌌 Fast, in-memory, typo-tolerant, full-text and vector search engine in <2kb.

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

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

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

A distributed system for embedding-based vector retrieval

PostgreSQL for Search

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

⚡️Open-source LangChain-like AI knowledge database with web UI,and Enterprise SSO⚡️, supports OpenAI, Azure, HuggingFace, OpenRouter, ChatGLM and local models, chat demo: https://ai.casbin.com, admin portal demo: https://ai.casibase.com

LLM App is a production framework for building and serving AI applications and LLM-enabled real-time data pipelines.

Java version of LangChain

local-first semantic code search engine

Vector database plugin for Postgres, written in Rust, specifically designed for LLM

ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.

Milvus management GUI

Ship RAG based LLM web apps in seconds.