Discover the flow of building a natural language query (NLQ) translation service for SaaS distribution of Druid and handling the unique considerations for Druid and the SaaS platform. This system was built with Amazon Bedrock and Claude for LLM (large language model) assistance, aiming to make data querying more accessible and intuitive, even for non-experts.
Speaker:
Tom Fenwick, Software Engineer, Imply
[Timestamp] Table of Contents:
[0:00] Building NLQ for Apache Druid: Natural language querying for Druid using Amazon Bedrock and Claude
[4:00] Initial Development, Evaluation and Testing
[8:00] Enhancing NLQ with Schema Knowledge, Guardrails & Druid Challenges
[12:19] Issues Faced: And how we handled them
[14:00] Handling Ambiguities and Impossible Queries
[17:00] Future Enhancements & Conclusion
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