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A lightweight, lightning-fast, in-process vector database
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Latest capture 2026-07-15 03:03
5 captures since 2026-05-25
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Scanned 2026-07-15 03:03
CMakeLists.txt
c-cpp ecosystem,
0 dependencies
pyproject.toml
python ecosystem,
21 dependencies
src/CMakeLists.txt
c-cpp ecosystem,
1 dependency
tests/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
thirdparty/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
tools/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
examples/c++/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
examples/c/CMakeLists.txt
c-cpp ecosystem,
1 dependency
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Universal vector search wrapper for Postgres, MySQL, SQLite (pgvector, Vector Store, sqlite‑vss).
A Python vector database you just need - no more, no less.
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/
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.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
A high-performance observability data pipeline.
