Introducing Semantic Search: Smarter Discovery for ODC App Data (Beta)
We are thrilled to announce the Beta release of ODC Semantic Search, a powerful new AI capability that helps applications and AI agents find relevant information based on meaning, not just exact keyword matches.
Introducing ODC Semantic Search
Traditional search relies on exact word matches, which can miss what a user is really looking for. Semantic Search uses vector-based retrieval to understand the meaning and context behind a query. This enables your applications to surface the most relevant information based on concepts, even when the search terms don't perfectly match the data in your OutSystems database. By transforming existing text attributes into searchable vectors, you can finally unlock the full potential of your ODC data.
Powering Apps and AI Agents
Semantic Search is more than a search experience; it is a foundational capability for building the next generation of AI-powered applications and experiences.
- Enhanced user experiences - Deliver more natural, human-like search experiences in web and mobile apps, helping users find relevant information faster and with less effort.
- Grounded AI agents and RAG - Support Retrieval-Augmented Generation (RAG) patterns by supplying AI agents with the most relevant context from your ODC data. This helps improve response quality by making AI outputs more relevant, more trustworthy, and better grounded in your business information.
Regional Support & Data Handling
For ODC environments residing in unsupported AWS regions, search requests will be automatically and securely redirected to a supported region to ensure full functionality. Learn more about it in the documentation.
Get started today
Semantic Search is currently available in Beta - we’re excited for you to try it and share feedback with us. Contact your account team and learn how to enable this powerful AI capability.
Learn more about Semantic Search for ODC App Data- ODC
- AI（人工知能）
- OutSystemsを使用した開発
