IntelLabs/fastRAG
An Intel research framework for building efficient retrieval-augmented generation pipelines using state-of-the-art LLMs and neural information retrieval.
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fastRAG provides optimized RAG pipelines combining neural retrieval models like ColBERT with LLMs for generation. It supports semantic search, multi-modal data, knowledge graphs, and integrates with the Haystack ecosystem. The framework includes benchmarks, embedding optimizations, and tools for building advanced question-answering and summarization applications.
Frequently asked
- What is IntelLabs/fastRAG?
- An Intel research framework for building efficient retrieval-augmented generation pipelines using state-of-the-art LLMs and neural information retrieval.
- Is fastRAG open source?
- Yes — IntelLabs/fastRAG is open source, released under the Apache-2.0 license.
- What language is fastRAG written in?
- IntelLabs/fastRAG is primarily written in Python.
- How popular is fastRAG?
- IntelLabs/fastRAG has 1.8k stars on GitHub.
- Where can I find fastRAG?
- IntelLabs/fastRAG is on GitHub at https://github.com/IntelLabs/fastRAG.