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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
Project Samples
Categories
Natural Language Processing (NLP)License
Apache License V2.0Follow FastRAG
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