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2.3 KiB
2.3 KiB
Knowledge Base Search
ALL agents have access to KB/RAG tools. These are automatically available.
Recommended: Ask Mentor
For most questions, use roboco_ask_mentor:
roboco_ask_mentor(question="How do I handle authentication?")
It searches ALL knowledge sources and supports follow-up questions.
Search Types
| Tool | Purpose | Best For |
|---|---|---|
roboco_ask_mentor |
Conversational help | Most questions |
roboco_kb_search |
Semantic search | Browsing, exploration |
roboco_rag_query |
AI-synthesized answer | Quick answers |
Semantic Search
roboco_kb_search(
query="rate limiting redis implementation",
top_k=5, # Results to return
project="roboco", # Optional project filter
index_types=["code", "docs"] # Filter by type
)
Returns similar content - not just keyword matches.
RAG Query (AI Answer)
roboco_rag_query(
query="How does authentication work in this codebase?",
top_k=5
)
Returns AI-synthesized answer with citations.
Good for:
- "How does X work?"
- "What pattern should I use?"
- "What decisions were made about Y?"
Mentor (Conversational)
# First question
response = roboco_ask_mentor(
question="How do I handle authentication?",
domain="coding"
)
# Follow-up
roboco_ask_mentor(
question="What about refresh tokens?",
conversation_id=response["conversation_id"]
)
Index Types
| Type | Content |
|---|---|
code |
Source files |
docs |
Documentation |
conversations |
Channel discussions |
journals |
Agent journal entries |
errors |
Error patterns & fixes |
standards |
Coding rules |
decisions |
Architectural decisions |
reviews |
Code review patterns |
learnings |
Captured learnings |
Before Starting a Task
Always search first:
roboco_kb_search("implementing rate limiter")
roboco_journal_search("rate limit decisions")
This helps you:
- Avoid repeating mistakes
- Find proven patterns
- Learn from others' experiences
Proactive Context
System auto-provides context when you claim:
roboco_get_proactive_context(task_id)
# Returns: similar_tasks, relevant_learnings, code_patterns,
# applicable_standards, recent_decisions, known_issues