A modern replacement for Redis and Memcached
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Updated
Nov 7, 2024 - C++
A modern replacement for Redis and Memcached
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.
AI + Data, online. https://vespa.ai
A cloud-native vector database, storage for next generation AI applications
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
ultra fast, thread and process safe, easily queryable Indexes/ caches for Python.
Anime Style Illustration Specific Image Search App with ViT Tagger x BM25/Doc2Vec
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
Refine high-quality datasets and visual AI models
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Find the images in your dataset most similar to a query image from URL or drag-and-drop, with FiftyOne!
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
JVector: the most advanced embedded vector search engine
A python native client for easy interaction with a Weaviate instance.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
Official Weaviate TypeScript Client
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