Research a Topic
Search across your knowledge base, compile findings from multiple documents, and get a comprehensive answer with sources.
When to use this
- You need to understand a topic that spans multiple documents
- You’re preparing for a meeting or decision and need all relevant context
- You want to check what your team already knows about a subject before starting new work
The workflow
Copy this prompt into your AI tool:
Copy-paste prompt
I need to research the following topic across our Lore DB knowledge base:
[YOUR TOPIC HERE]
Please follow these steps:
1. Search Lore DB for documents related to this topic using search_doc
2. Read the top 3-5 most relevant documents using read_doc
3. Compile a summary that includes:
- Key findings from each document
- Any contradictions or gaps between documents
- Document titles and IDs for each source
4. List any related topics I should also look into
5. Note any documents that seem outdated or need verification Example
Prompt: “I need to research our API rate limiting approach across our Lore DB knowledge base.”
What the AI does:
- Searches for “API rate limiting” → finds 4 relevant docs
- Reads each document to understand the full context
- Compiles a summary: current limits (1000 req/min), retry behavior, error codes, and the Q3 decision to add per-endpoint limits
- Notes that the “API Gateway Configuration” doc was last updated 6 months ago and may be stale
- Suggests also looking into “Error Handling Patterns” and “Client SDK Configuration”
Use the library_id or system_id parameters in your search to scope the research to specific areas of your knowledge base.