Statistics for topic vector-search
RepositoryStats tracks 579,129 Github repositories, of these 121 are tagged with the vector-search topic. The most common primary language for repositories using this topic is Python (40). Other languages include: Jupyter Notebook (12), TypeScript (12), C++ (11)
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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/
A cloud-native vector database, storage for next generation AI applications
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Go library for embedded vector search and semantic embeddings using llama.cpp
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
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/
A cloud-native vector database, storage for next generation AI applications
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Go library for embedded vector search and semantic embeddings using llama.cpp
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
A cloud-native vector database, storage for next generation AI 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/
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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 c...
Go library for embedded vector search and semantic embeddings using llama.cpp
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
Home of the AI workforce - Multi-agent system, AI agents & tools
A @ClickHouse fork that supports high-performance vector search and full-text search.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C...
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Hybrid vector database with flexible SQL storage engine & multi-index support.
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/
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
Superduper: build end-2-end AI applications and templates using your existing data infrastructure and tools of choice
A @ClickHouse fork that supports high-performance vector search and full-text search.
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.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C...
Go library for embedded vector search and semantic embeddings using llama.cpp