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GitHub - milvus-io/milvus: Milvus is a high-performance, cloud-native ...
...? Milvus is a high-performance vector database built for scale. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi-modal information. ??? Written in Go and C++, Milvus implements hardware acceleration for CPU/GPU to achieve best-in-class vector search performance. Thanks to its fully-distributed and ......
https://github.com/milvus-io/milvus

GitHub - qdrant/qdrant: Qdrant - High-performance, massive-scale Vector ...
...Vector Search Engine for the next generation of AI applications Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points?vectors with an additional payload. Qdrant is tailored for extended filtering support, making it useful for all sorts of neural-network or semantic ......
https://github.com/qdrant/qdrant

GitHub - facebookresearch/faiss: A library for efficient similarity ...
...Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It ......
https://github.com/facebookresearch/faiss

GitHub - pgvector/pgvector: Open-source vector similarity search for ...
...Open-source vector similarity search for Postgres. Contribute to pgvector/pgvector development by creating an account on GitHub....
https://github.com/pgvector/pgvector

GitHub - chroma-core/chroma: Search infrastructure for AI
...Search infrastructure for AI. Contribute to chroma-core/chroma development by creating an account on GitHub....
https://github.com/chroma-core/chroma

GitHub - weaviate/weaviate: Weaviate is an open-source vector database ...
...Weaviate is an open-source, cloud-native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, retrieval-augmented generation (RAG), and reranking in a single query interface. Common use cases include RAG systems, semantic and image search, recommendation engines, chatbots, and content ......
https://github.com/weaviate/weaviate

GitHub - alibaba/zvec: A lightweight, lightning-fast, in-process vector ...
...Zvec is an open-source, in-process vector database ? lightweight, lightning-fast, and designed to embed directly into applications. Battle-tested within Alibaba Group, it delivers production-grade, low-latency and scalable similarity search with minimal setup....
https://github.com/alibaba/zvec

GitHub - volcengine/OpenViking: OpenViking is an open-source context ...
...The OpenViking Solution OpenViking is an open-source Context Database designed specifically for AI Agents. We aim to define a minimalist context interaction paradigm for Agents, allowing developers to completely say goodbye to the hassle of context management....
https://github.com/volcengine/OpenViking

GitHub - VectifyAI/PageIndex: PageIndex: Document Index for ...
...PageIndex anchors a growing open-source ecosystem of long-context AI infra ? OpenKB is an LLM knowledge base that compiles documents into an interlinked wiki. ChatIndex provides tree indexing and retrieval for long conversational histories and memory. ConDB is a KV-cache native context database for tree-based retrieval at scale....
https://github.com/VectifyAI/PageIndex

GitHub - activeloopai/deeplake: Deeplake is AI Data Runtime for Agents ...
...ChromaDB is a Vector Database that can be deployed locally or on a server using Docker and will offer a hosted solution shortly. Deep Lake is a serverless Vector Store deployed on the user?s own cloud, locally, or in-memory. All computations run client-side, which enables users to support lightweight production apps in seconds....
https://github.com/activeloopai/deeplake

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