bvandeusen
d6f4a6dbb6
- New NoteEmbedding model + migration 0014 stores float embeddings (JSONB) - services/embeddings.py: get_embedding, upsert_note_embedding, semantic_search_notes (cosine similarity), backfill_note_embeddings - build_context() now tries semantic search first, falls back to keyword search; accepts cached_note_ids to reuse last-turn notes and stabilise the system prompt prefix for Ollama's KV cache - generation_buffer.py: per-conversation note ID cache (get/set/clear) - generation_task.py: passes cached IDs into build_context, updates cache after each turn, and invalidates it after create_note/update_note/create_task - app.py: pulls nomic-embed-text at startup and launches a background backfill to embed all existing notes (30 s delay so Ollama has time to load the model) - routes/notes.py + services/tools.py: fire-and-forget embedding update on every note create or update via the API or LLM tool calls Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
25 lines
661 B
Python
25 lines
661 B
Python
"""Add note_embeddings table for semantic note search."""
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from alembic import op
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revision = "0014"
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down_revision = "0013"
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def upgrade() -> None:
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op.execute("""
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CREATE TABLE IF NOT EXISTS note_embeddings (
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note_id INTEGER PRIMARY KEY REFERENCES notes(id) ON DELETE CASCADE,
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user_id INTEGER NOT NULL,
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embedding JSONB NOT NULL,
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updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
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)
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""")
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op.execute(
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"CREATE INDEX IF NOT EXISTS ix_note_embeddings_user_id ON note_embeddings(user_id)"
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)
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def downgrade() -> None:
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op.execute("DROP TABLE IF EXISTS note_embeddings")
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