Files
session-mcp/migrations/015_tool_docs.sql
Christian Gick afce0bd3e5 Migrate embeddings from Gemini to local mxbai-embed-large
Switch from external Gemini API (3072 dims, $0.15/1M tokens) to local
Ollama mxbai-embed-large (1024 dims, free) for cost savings and HNSW
index support.

Changes:
- Updated embeddings.ts: model 'mxbai-embed-large', API URL fixed
- Updated migration 015: vector(1024) with HNSW index
- Regenerated 268 tool_docs embeddings with new model

Benefits:
- Free embeddings (no API costs)
- HNSW index enabled (1024 < 2000 dim limit)
- Fast similarity search (O(log n) vs O(n))
- No external API dependency

Trade-offs:
- 5% quality loss (MTEB 64.68 vs ~70 Gemini)
- Uses local compute (1.2GB RAM, <1s per embedding)

Task: CF-251

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-19 09:40:02 +02:00

38 lines
1.7 KiB
SQL

-- Migration 015: Tool Documentation
-- Creates tool_docs table for queryable tool documentation with semantic search
-- Dependencies: 001_base_schema.sql (pgvector extension)
-- Tool documentation table
CREATE TABLE IF NOT EXISTS tool_docs (
id SERIAL PRIMARY KEY,
tool_name TEXT NOT NULL,
category TEXT NOT NULL CHECK (category IN ('mcp', 'cli', 'script', 'internal', 'deprecated')),
title TEXT NOT NULL,
description TEXT NOT NULL,
usage_example TEXT,
parameters JSONB, -- Structured parameter definitions
notes TEXT, -- Additional notes, gotchas, tips
tags TEXT[], -- Searchable tags (e.g., ['backup', 'database', 'postgresql'])
source_file TEXT, -- Original source file (TOOLS.md, script path, etc.)
embedding vector(1024), -- mxbai-embed-large embedding (1024 dimensions)
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);
-- Indexes for fast lookups
CREATE INDEX IF NOT EXISTS idx_tool_docs_name ON tool_docs(tool_name);
CREATE INDEX IF NOT EXISTS idx_tool_docs_category ON tool_docs(category);
CREATE INDEX IF NOT EXISTS idx_tool_docs_tags ON tool_docs USING gin(tags);
-- HNSW index for fast semantic similarity search (O(log n) vs O(n) sequential scan)
-- mxbai-embed-large (1024 dims) < 2000 dim limit, so HNSW index works
CREATE INDEX IF NOT EXISTS idx_tool_docs_embedding ON tool_docs USING hnsw (embedding vector_cosine_ops);
-- Full-text search on title + description
CREATE INDEX IF NOT EXISTS idx_tool_docs_fts ON tool_docs
USING gin(to_tsvector('english', title || ' ' || description || ' ' || COALESCE(notes, '')));
-- Record migration
INSERT INTO schema_migrations (version) VALUES ('015_tool_docs')
ON CONFLICT (version) DO NOTHING;