A cloud-native vector database, storage for next generation AI applications
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Updated
Jul 28, 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
Qdrant - Vector Database for the next generation of AI applications. 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
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
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.
The open big data serving engine. https://vespa.ai
Vector search for humans.
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.
A distributed system for embedding-based vector retrieval
Collections of vector search related libraries, service and research papers
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
A SQLite extension for efficient vector search, based on Faiss!
Build LLM-backed Ruby applications
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