Adding Native Semantic Search capabilities within the OutSystems platform. This would allow developers to implement search features that understand the user's intent and the contextual meaning of their queries.
Key Features:
Vector Embedding Support: Built-in capability to generate and store vector embeddings for database records directly within the platform.
Natural Language Queries: Users can search using phrases like "fresh products near me" instead of specific product names, and the system should understand the intent.
Multilingual Semantic Search: Since many apps are regional, the search should understand queries in local languages like Malayalam and map them to relevant results even if the keywords don't match exactly.
AI Orchestrator Integration: Seamless integration with OutSystems AI Orchestrator to leverage models like Google Gemini or OpenAI for retrieving search results.
Why it matters:
Integrating semantic search will revolutionize how users interact with data in OutSystems apps. It improves user experience by providing more relevant results, which is critical for the success of systems.