Three new migrations establish the search infrastructure:
- 007_documents: Creates the `documents` table as the central search
unit. Each document is a rendered text blob derived from an issue,
MR, or discussion. Includes `dirty_queue` table for tracking which
entities need document regeneration after ingestion changes.
- 008_fts5: Creates FTS5 virtual table `documents_fts` with content
sync triggers. Uses `unicode61` tokenizer with `remove_diacritics=2`
for broad language support. Automatic insert/update/delete triggers
keep the FTS index synchronized with the documents table.
- 009_embeddings: Creates `embeddings` table for storing vector
chunks produced by Ollama. Uses `doc_id * 1000 + chunk_index`
rowid encoding to support multi-chunk documents while enabling
efficient doc-level deduplication in vector search results.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
