fastRAG is a research framework for efficient and optimized retrieval augmented generative pipelines, incorporating state-of-the-art LLMs and Information Retrieval. fastRAG is designed to empower researchers and developers with a comprehensive tool set for advancing retrieval augmented generation.

Features

  • Implements optimized RAG for faster knowledge retrieval
  • Supports dense and sparse retrieval techniques
  • Reduces latency in multi-turn conversations
  • Integrates with vector databases for knowledge augmentation
  • Works with LLM-based AI assistants
  • Open-source with extensible architecture

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-23