ИИ-агенты
Llama Index
LlamaIndex is the document processing platform for AI
★ 52,4 тыс. звёздMIT
Смотреть руководство →SAG — проект с открытым исходным кодом из категории «RAG и базы знаний» от Zleap-AI (Zleap-AI/SAG на GitHub). У него 2 517 звёзд на GitHub и 167 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 4 октября 2026.
A new state of the art for RAG: an open knowledge base for humans and agents.
Set up the Python package.
Ingest your documents.
Ask questions through the new architecture.
Expose the knowledge base to both.
Beyond standard vector search.
Knowledge graphs meet retrieval.
Inspectable and modifiable.
Built for both audiences.
Fits data pipelines.
Free for any use.
Download the source and move into the project folder.
git clone https://github.com/Zleap-AI/SAG.git
cd SAGEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Zleap-AI/SAG with 167 forks.
Yes. MIT licensed.
That is the project’s claim; test it against your own benchmarks.
It proposes an original retrieval architecture rather than a framework.
Documents for knowledge-base construction; see the docs.
LlamaIndex is the document processing platform for AI
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Соседние проекты из категории «RAG и базы знаний» в каталоге, ближайшие по числу звёзд к SAG — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.