vearch/vearch
vearch
Distributed vector search for AI-native applications
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vearch
vearch • individual
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Created
May 13, 2019
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README Summary
Vearch is a distributed vector database designed for storing, indexing, and searching vector embeddings at scale. It provides both SQL and RESTful APIs for AI applications that need to perform similarity search on high-dimensional vectors, commonly used in machine learning and deep learning workflows.
AI Dev Skills
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Vector Database ManagementHigh-Dimensional Vector SearchDistributed Systems ArchitectureSimilarity Search AlgorithmsEmbedding Storage and RetrievalApproximate Nearest Neighbor SearchRetrieval-Augmented GenerationVector Indexing Strategies
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Vector Database ManagementHigh-Dimensional Vector SearchDistributed Systems ArchitectureSimilarity Search AlgorithmsEmbedding Storage and RetrievalApproximate Nearest Neighbor SearchRetrieval-Augmented GenerationVector Indexing Strategies
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Updated 16 days ago
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Quality
beta- Quality
- medium
- Maturity
- beta
Categories
RAG & RetrievalPrimaryEvals & BenchmarkingSearch & KnowledgeDev Tools & Automation
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Go100.0%
Timeline
- Project created
- May 13, 2019
- Forked
- Mar 29, 2026
- Your last push
- 16 days ago
- Upstream last push
- 16 days ago
- Tracked since
- Mar 28, 2026
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