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Q&A with RAG Accelerator
Project
Guided tutorial
Industry Accelerator
Description

Retrieval Augmented Generation (RAG) is an AI framework for retrieving facts from an external knowledge base to ground large language models (LLMs) on the most accurate and up-to-date information. In this accelerator we convert documents from HTML or PDF to plain text, import document segments into an Elasticsearch vector index, deploy a python function that queries the vector index, retrieves top N results, runs LLM inference to generate an answer to the question and checks the answer for hallucinations.
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Details
Publisher
IBM Analytics
Required Services
1
Included assets
1 Data sets
4 Notebooks
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