BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·Aug 27·5 min read
Enhancing Agent Retrieval with Structured Chart Extraction
TL;DR
Databricks Genie enhances agent retrieval by using structured chart extraction, allowing it to accurately answer questions about chart data, unlike traditional agents. In a test, Genie correctly identified 18 local maxima in a chart, while a frontier agent miscounted at 17.
✦ Why It Matters
Implement structured extraction techniques to improve your agents' accuracy in interpreting chart data today.
Key Takeaways
- Utilize ai_parse_document for structured chart extraction.
- Integrate structured JSON to enhance agent retrieval capabilities.
- Focus on chart-heavy datasets for improved answer accuracy.
- Leverage the upcoming chart-JSON feature in Databricks products.
How It Works
The structured extraction method converts chart data into structured JSON format, allowing agents to access precise values and improve their reasoning capabilities. By using ai_parse_document, the charts are parsed and indexed, enabling better retrieval and answering of chart-based questions.