Infuse knowledge management with gen AI

Improve employee and customer experiences through RAG and conversational search

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Build and deploy with watsonx.ai

Businesses are often seeking to improve operational efficiencies and scalability, and they need to ensure that they are providing their employees and customers with access to the right information at the right time. Grounding generative AI (gen AI) applications with your business knowledge can improve accuracy and user experiences.

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Optimize data discovery and enterprise search
Enhance employee productivity and efficiency
Automate customer self-service answers and action
Deploy quickly with AutoAI RAG, prebuilt templates and API access
Features Enterprise search through RAG

By analyzing query context and integrating real-time data feeds, watsonx.ai® delivers relevant, up-to-date results to support fast, informed decision-making. This enhances semantic search accuracy across diverse data sources, including documents, tables and images.

AutoAI for RAG

AutoAI for RAG simplifies pipeline building by automatically generating various pipeline configurations. It then evaluates and ranks their performance, presenting the best options on a leaderboard. A process that might traditionally take months, exhausting hundreds of potential combinations, is now streamlined for completion.

Conversational AI chatbot

Ground assistants and agents with enterprise knowledge for 24x7 customer support. Built by using watsonx.ai RAG patterns, they help to retrieve relevant knowledge and responses.

See it in action

Chat with documents

Watch the demo about the chat with documents feature in watsonx.ai, that enables you to augment a large language model (LLM) knowledge base by grounding it with documents.

Question answering

With watsonx.ai, you can use retrieval augmented generation (RAG) to build a question and answer application. See how you can generate accurate answers from a broad knowledge base.

Case studies
 AddAI logo
AddAI

Learn how AddAI achieved an 85% accuracy rate for answers generated through gen AI along with a 50% reduction in unanswered queries.

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System Research
System Research Inc.

Discover how System Research, a system integrator based in Nagoya, Japan, achieved a 50% reduction in the time required by its employees to access the information they needed.

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MacStadium

Explore how MacStadium, an SaaS company, increased staff efficiency by 30% and reduced customer support queries by 25%. 

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