e7136a4a20
New MCP server (mcp/) exposes kb operations as native MCP tools over
Streamable HTTP with Bearer token auth. Supports collections via tag
conventions, chunked file uploads, and agent-side search patterns.
Engine gains PATCH /api/v1/notes/{id} for in-place note updates with
transactional re-chunk/re-embed, and updated_at column on documents.
Go client adds updatenote command and Patch HTTP method.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
36 lines
1.7 KiB
Markdown
36 lines
1.7 KiB
Markdown
# Agent-Side Search Patterns
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## Purpose
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Documents recommended patterns for agent-side query expansion and reranking, which are caller responsibilities rather than engine features. These patterns are communicated via MCP tool descriptions.
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## Requirements
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### Requirement: Query expansion guidance in tool description
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The `kb_search` MCP tool description SHALL include guidance on query expansion as a recommended pattern for complex queries.
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#### Scenario: Tool description includes expansion pattern
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- **WHEN** an agent reads the `kb_search` tool description
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- **THEN** the description SHALL include guidance such as: "For complex queries, consider expanding into 2-3 variant phrasings and calling this tool multiple times, then deduplicating results by chunk_id"
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---
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### Requirement: Reranking guidance in tool description
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The `kb_search` MCP tool description SHALL include guidance on agent-side reranking as a recommended pattern for improving precision.
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#### Scenario: Tool description includes reranking pattern
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- **WHEN** an agent reads the `kb_search` tool description
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- **THEN** the description SHALL include guidance such as: "For precision, rerank the returned results using your own judgement based on relevance to the original question"
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---
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### Requirement: No engine-side LLM dependency
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The engine SHALL NOT require or use any external LLM API for search operations. Query expansion and reranking SHALL remain entirely agent-side concerns.
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#### Scenario: Engine has no LLM dependency
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- **WHEN** the engine is deployed without any `ANTHROPIC_API_KEY` or similar LLM API configuration
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- **THEN** all search operations SHALL function fully, with no degraded results or missing features
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