IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


Shape the future of IBM!

We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:


Search existing ideas

Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,


Post your ideas

Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,

  1. Post an idea

  2. Upvote ideas that matter most to you

  3. Get feedback from the IBM team to refine your idea


Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com


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Status Submitted
Workspace Watson Discovery
Created by Guest
Created on Jan 9, 2025

RELATED IDEAS

Proposal to Add Vector Search Support to Watson Discovery

Does IBM have any plans to support vector search in Watson Discovery?
While we understand that watsonx Discovery and IBM Cloud’s Elasticsearch already offer vector search capabilities, Watson Discovery stands out for its excellent text search accuracy and user-friendly GUI, which allows users to fine-tune search results effortlessly. These features are highly valued by our customers and make Watson Discovery a critical component for deploying RAG (Retrieval-Augmented Generation) solutions.

Adding vector search support to Watson Discovery would bring the following key benefits:

Enhanced Performance: Vector search would provide more accurate results, particularly for similarity-based queries, addressing the limitations of traditional keyword-based search.
Strengthened RAG Solutions: Leveraging vector search could improve generative AI’s contextual understanding, enabling more natural and relevant response generation.
Increased Competitiveness: Vector search would further differentiate Watson Discovery from competitors, making it a more attractive offering.
With vector search support, Watson Discovery could seamlessly integrate text and vector search capabilities, catering to a broader range of use cases. This enhancement would make IBM’s solutions even more compelling for enterprises adopting RAG.

Needed By Quarter

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