A cloud-native vector database, storage for next generation AI applications
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Updated
Dec 12, 2023 - Go
A cloud-native vector database, storage for next generation AI applications
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
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.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
AI + Data, online. https://vespa.ai
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.
Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
Vector search for humans. Also available on cloud - cloud.marqo.ai
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.
🔮 SuperDuperDB. Bring AI to your database; integrate, train and manage any AI models and APIs directly with your database and your data.
🧠 AI-powered enterprise search engine 🔎
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
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).
A distributed system for embedding-based vector retrieval
PostgreSQL for Search
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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