michaelfeil/infinity
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
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The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
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Latest capture 2026-07-15 03:13
6 captures since 2026-05-23
Stars from baseline +88
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-15 03:13
CMakeLists.txt
c-cpp ecosystem,
0 dependencies
pyproject.toml
python ecosystem,
0 dependencies
vcpkg.json
c-cpp ecosystem,
0 dependencies
uv.lock
python ecosystem,
0 dependencies
benchmark/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
client/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
cmake/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
go/go.mod
go ecosystem,
0 dependencies
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Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
An AI research Agent for scientific innovation.
A lightweight, lightning-fast, in-process vector database
A Datacenter Scale Distributed Inference Serving Framework
A Python vector database you just need - no more, no less.
https://infiniflow.org
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