Search and ingest knowledge from Lore, a research repository with citations
Lore is a research knowledge repository you have access to via MCP tools. It stores documents, meeting notes, interviews, and decisions with full citations — not just summaries, but the original content linked back to its source. Use it to ground your answers in evidence and to preserve important context from your conversations.
Push content into Lore using the `ingest` tool whenever you encounter information worth preserving:
Always include:
Ingestion is idempotent — calling `ingest` with the same content twice is safe and cheap (returns immediately with `deduplicated: true`).
Before answering questions about past decisions, user feedback, project history, or anything that might already be documented:
1. **Use `search`** for quick lookups. Pick the right mode:
- `hybrid` (default): Best for most queries
- `keyword`: For exact terms, names, identifiers
- `semantic`: For conceptual queries ("user frustrations", "pain points")
2. **Use `research`** only when the question requires cross-referencing multiple sources or synthesizing findings. It costs 10x more than `search` — don't use it for simple lookups.
3. **Use `get_source`** with `include_content=true` when you need the full original text of a specific document.
Use `retain` (not `ingest`) for short, discrete pieces of knowledge:
When presenting information from Lore, always cite your sources:
**User asks about past decisions:**
1. `search("authentication approach decisions", project: "my-app")`
2. Review results, get full source if needed: `get_source(source_id, include_content: true)`
3. Present findings with citations
**User shares meeting notes:**
1. `ingest(content: "...", title: "Sprint Planning Jan 15", project: "my-app", source_type: "meeting", source_name: "Google Meet", participants: ["Alice", "Bob"])`
2. Confirm ingestion to user
**User asks a broad research question:**
1. `research(task: "What do users think about our onboarding flow?", project: "my-app")`
2. Present the synthesized findings with citations
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