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Learn how to build efficient hybrid context queries for LLM grounding in this 12-minute conference talk from the AI Engineer Summit 2023. Explore the challenges of fetching relevant context for natural language queries in e-commerce applications, ranging from simple semantic similarity searches to complex multi-source queries involving vector databases, relational databases, and structured filters. Discover how queries evolve from basic text matching to entity-specific searches with price ranges and other constraints, requiring intersection operations across multiple data sources. Understand the engineering complexities that arise when scaling these solutions and see how Hasura's GraphQL API provides an efficient approach to handling multi-source queries for GenAI applications, avoiding the typical project explosion that occurs with traditional approaches.
