A cloud-native vector database, storage for next generation AI applications
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Updated
May 23, 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.
AI Vector Database for LLMs/LangChain. Doubles as a Data Lake for Deep Learning. Store, query, version, & visualize any data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.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.
The open big data serving engine. https://vespa.ai
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
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, etc) using a simple React frontend.
A distributed system for embedding-based vector retrieval
Collections of vector search related libraries, service and research papers
Multi-Modal Transformers library for Semantic Search and other Vision-Language tasks
A SQLite extension for efficient vector search, based on Faiss!
Replacing MongoDB, Neo4J, and Elastic with 1 transactional database. Features: zero-copy semantics, swappable backends, bindings for C, C++, Python, Java, GoLang
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