RAG и базы знаний
infigraph
AST-powered code intelligence engine — graph database plus hybrid semantic search across 62 languages, zero LLM dependency.
★ 91 звездаNOASSERTION
Смотреть руководство →infinity — проект с открытым исходным кодом из категории «RAG и базы знаний» от infiniflow (infiniflow/infinity на GitHub). У него 4 734 звезды на GitHub и 455 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 23 сентября 2026.
AI-native database for hybrid search across dense, sparse, and tensor vectors plus full text
Run the server in Docker (recommended) or from a binary; an x86_64 CPU with AVX2 and Python 3.11+ for the client are expected.
Pull and run the Infinity Docker image with a persistent data volume.
Install the Python SDK matching the server.
Create a table with text and vector columns, insert rows, and query with dense matching plus filters.
Combine dense embedding, sparse embedding, tensor, and full-text search with filtering in a single query.
RRF, weighted sum, and ColBERT reranking are supported out of the box.
Strings, numerics, vectors, tensors, and structured data in one database.
No external dependencies; deploy via Docker or binary, or embed it in Python as a module.
An intuitive Python API/SDK and an HTTP API for other clients.
Designed for LLM applications including search, recommenders, Q&A, conversational AI, and copilots.
Clone if you plan to build from source or browse the examples; Docker users can skip ahead.
git clone https://github.com/infiniflow/infinity.git
cd infinityStart Infinity with host networking and a persistent data directory, as documented.
sudo mkdir -p /var/infinity && sudo chown -R $USER /var/infinity
docker pull infiniflow/infinity:nightly
docker run -d --name infinity -v /var/infinity/:/var/infinity --ulimit nofile=500000:500000 --network=host infiniflow/infinity:nightlyInstall the Python SDK, then connect on port 23817 and run a dense-vector match.
pip install infinity-sdk==0.7.3InfiniFlow, the company also known for RAGFlow; Infinity is their dedicated AI-native database project.
Yes, it is open source under the Apache-2.0 license; you run it on your own infrastructure.
No. Infinity is self-hosted software; you generate embeddings with your own models or providers separately.
Those are primarily vector databases; Infinity's pitch is a single engine that natively combines dense, sparse, and tensor search with full-text search and structured data, deployed as one dependency-free binary.
Run the Docker image as shown in the README, `pip install infinity-sdk==0.7.3`, connect to port 23817, create a table, and run your first match_dense query.
AST-powered code intelligence engine — graph database plus hybrid semantic search across 62 languages, zero LLM dependency.
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Другие проекты из категории «RAG и базы знаний» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если infinity вам не подходит.
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Соседние проекты из категории «RAG и базы знаний» в каталоге, ближайшие по числу звёзд к infinity — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.