Document Metadata Augmentation Agent

This folder contains an agent template that uses the sasram Python client retrieve_docs function to perform a semantic search over a collection, and format this context into an LLM query with both the text content and metadata for the document such as file name, page number, and chunk index.

Input to This Agent Experiment

Retrieval Settings - System Prompt

Any system prompt works for this template.

Tools

No tools are required for this example. This agent does not perform tool calling.

Collections

Any collection can be used with this template.

Environment Variables (optional)

No environment variables are required for this example.

Automation Hook (Optional)

There are no automations for this agent.

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Open source under the Apache License 2.0. Provided AS IS, without warranties, responsibility, or support from SAS except where applicable law requires otherwise.