FlashRAG

FlashRAG is an open-source Python toolkit for developing and evaluating Retrieval-Augmented Generation (RAG) systems. It provides components for document retrieval, reranking, knowledge indexing, and large language model integration, making it useful for building and experimenting with RAG applications.

Features of FlashRAG:

• Provides tools for building and evaluating Retrieval-Augmented Generation (RAG) systems.
• Supports document retrieval, reranking, indexing, and knowledge processing workflows.
• Integrates with language models and various retrieval components.
• Provides configurable components for experimenting with different RAG pipelines and configurations.

FlashRAG usage:

$ sudo su
$ apt update
$ cd /opt/FlashRAG
$ source /opt/FlashRAG/venv/bin/activate

$ verify installation:

# python -c "import flashrag; print('FlashRAG installed successfully')"

$ check installed package:

# pip list | grep -i flashrag

$ check Git version:

# git log -1 --oneline

Disclaimer: FlashRAG is an open-source toolkit developed and maintained by its respective project contributors. It is provided for developing and evaluating Retrieval-Augmented Generation (RAG) systems. Users are responsible for configuring and using FlashRAG and its associated dependencies in accordance with their organizational requirements, licenses, and applicable terms and policies.