ibm-self-serve-assets/Blended-RAG
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
This project helps you build better question-answering systems by more accurately finding the right information from your own large collection of documents. It takes your extensive document library and user questions, then uses advanced search techniques to retrieve the most relevant sections, producing highly accurate answers. This is ideal for knowledge managers, researchers, or anyone building an intelligent Q&A system from a vast internal knowledge base.
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Use this if you need to improve the accuracy of a generative question-answering system that uses your organization's specific documents.
Not ideal if you are working with small, easily searchable document sets or don't require the highest level of precision in retrieving document snippets.
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May 15, 2025
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