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Decision brief
FlashRAG caters to Python-based RAG research with streamlined installation options and flexibility in optional dependency choices for improved performance.
Good fit when
- When you need specialized tools for retrieval-augmented generation (RAG) within large-language-model environments, offering a direct pip install option simplifies quick integration into your projects.
- If the project requires the use of vllm for speed improvements or sentence-transformers and pyserini for specific functionalities like bm25, FlashRAG offers distinct dependency installation commands.
Avoid when
- Avoid using FlashRAG if you do not have Python version 3.10+, as the toolkit requires this minimum Python version.
- Do not use FlashRAG when your research or project involves extensive use of faiss, because it needs to be installed via conda due to pip installation incompatibilities.
- Requirements:
- Python version greater than or equal to 3.10; Optional dependencies include vllm, sentence-transformers, pyserini. Faiss installation requires conda.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (8d since push)
- As of 3d
- Provenance
- Not a fork · Organization account
- As of 3d
- Security (OSV)
- 59 low (59 low)
- As of 1mo
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Install
pip install FlashRAGHow it fits your stack(9)
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Evidence and technical details
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Overview
FlashRAG provides tools and benchmarks for retrieval-augmented generation with large language models.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 18, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 18, 2026)
Or you can clone it from Github and install (requires Python 3.10+):Source link
Tags
README
:wrench: Installation
To get started with FlashRAG, you can simply install it with pip:
pip install flashrag-dev --pre
Or you can clone it from Github and install (requires Python 3.10+):
git clone https://github.com/RUC-NLPIR/FlashRAG.git
cd FlashRAG
pip install -e .
If you want to use vllm, sentence-transformers or pyserini, you can install the optional dependencies:
---
# Install all extra dependencies
pip install flashrag-dev[full]
---
# Install vllm for faster speed
pip install vllm>=0.4.1
---
# Install sentence-transformers
pip install sentence-transformers
---
# Install pyserini for bm25
pip install pyserini
Due to the incompatibility when installing faiss using pip, it is necessary to use the following conda command for installation.
---
## :bookmark: License
FlashRAG is licensed under the [<u>MIT License</u>](./LICENSE).
For agents
This page has a .md twin and JSON over the API.