IBM TechXchange Community Group Library

 View Only

2796 - Enterprise grade Q&A with RAG with watsonx.ai + watsonx Discovery / Elastic Search 

Fri November 15, 2024 02:21 PM

Using the Question Answering with RAG Accelerator from the watsonx resource hub as an example, we explain how to build RAG applications with watsonx.ai and watsonx Discovery / Elastic Search at scale. We introduce a Python pipeline in watsonx.ai for document conversion, splitting, bulk import of chunks and vector indexing with ELSER vector embeddings in watsonx Discovery. We show how the Q&A with RAG Python function deployment end point can be invoked from applications, how all questions, retrieval results, answers, and end user feedback on answers can be collected in a log index in watsonx Discovery, and how the data in the log index can be analyzed using a Notebook in watsonx.ai to detect topics and report by topic how answers were rated by end users.
Activity Type: Technology Breakout
Tech Tracks: AI Software, Business Automation Software
Session Topic: AI Assistants, Workflow
Industry: Cross Industry
Technical Level: Intermediate Level

, Principal WW Data & AI Technical Specialist, IBM

, Distinguished Engineer, watsonx, IBM

Statistics
0 Favorited
7 Views
1 Files
0 Shares
2 Downloads
Attachment(s)
pdf file
2796 Enterprise grade Q&A with RAG with watsonx ai watson....pdf   6.48 MB   1 version
Uploaded - Fri November 15, 2024

Related Entries and Links

No Related Resource entered.