mirror of
https://github.com/lfnovo/open-notebook.git
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Changes: - Move migrations/ under open_notebook/database/migrations/ - Extract AI models to open_notebook/ai/ (Model, ModelManager, provision) - Extract podcasts to open_notebook/podcasts/ (EpisodeProfile, SpeakerProfile, PodcastEpisode) - Reorganize prompts to mirror graphs structure (chat/, source_chat/) This improves code organization by: - Consolidating database concerns (migrations now with database code) - Separating AI infrastructure from domain entities - Isolating podcast feature into its own module - Creating consistent prompt/graph naming conventions All 52 tests pass.
110 lines
3.7 KiB
Text
110 lines
3.7 KiB
Text
REMOVE TABLE IF EXISTS chat_session;
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REMOVE TABLE IF EXISTS refers_to;
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REMOVE FUNCTION fn::vector_search;
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DEFINE FUNCTION IF NOT EXISTS fn::vector_search($query: array<float>, $match_count: int, $sources:bool, $show_notes:bool) {
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let $source_embedding_search =
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IF $sources {(
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SELECT source as item_id, content, vector::similarity::cosine(embedding, $query) as similarity
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FROM source_embedding LIMIT $match_count)}
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ELSE { [] };
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let $source_insight_search =
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IF $sources {(
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SELECT source as item_id, content, vector::similarity::cosine(embedding, $query) as similarity
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FROM source_insight LIMIT $match_count)}
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ELSE { [] };
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let $note_content_search =
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IF $show_notes {(
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SELECT id as item_id, content, vector::similarity::cosine(embedding, $query) as similarity
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FROM note LIMIT $match_count)}
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ELSE { [] };
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let $source_chunk_results = array::union($source_embedding_search, $source_insight_search);
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let $source_results = array::union($source_chunk_results, $source_insight_search);
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let $note_results = $note_content_search;
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let $final_results = array::union($source_results, $note_results );
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RETURN (SELECT item_id, math::max(similarity) as similarity from $final_results
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group by item_id ORDER BY similarity DESC LIMIT $match_count);
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};
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REMOVE FUNCTION fn::text_search;
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DEFINE FUNCTION IF NOT EXISTS fn::text_search($query_text: string, $match_count: int, $sources:bool, $show_notes:bool) {
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let $source_title_search =
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IF $sources {(
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SELECT id as item_id, math::max(search::score(1)) AS relevance
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FROM source
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WHERE title @1@ $query_text
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GROUP BY item_id)}
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ELSE { [] };
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let $source_embedding_search =
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IF $sources {(
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SELECT source as item_id, math::max(search::score(1)) AS relevance
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FROM source_embedding
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WHERE content @1@ $query_text
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GROUP BY item_id)}
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ELSE { [] };
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let $source_full_search =
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IF $sources {(
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SELECT source as item_id, math::max(search::score(1)) AS relevance
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FROM source
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WHERE full_text @1@ $query_text
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GROUP BY item_id)}
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ELSE { [] };
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let $source_insight_search =
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IF $sources {(
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SELECT source as item_id, math::max(search::score(1)) AS relevance
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FROM source_insight
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WHERE content @1@ $query_text
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GROUP BY item_id)}
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ELSE { [] };
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let $note_title_search =
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IF $show_notes {(
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SELECT id as item_id, math::max(search::score(1)) AS relevance
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FROM note
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WHERE title @1@ $query_text
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GROUP BY item_id)}
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ELSE { [] };
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let $note_content_search =
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IF $show_notes {(
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SELECT id as item_id, math::max(search::score(1)) AS relevance
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FROM note
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WHERE content @1@ $query_text
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GROUP BY item_id)}
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ELSE { [] };
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let $source_chunk_results = array::union($source_embedding_search, $source_full_search);
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let $source_asset_results = array::union($source_title_search, $source_insight_search);
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let $source_results = array::union($source_chunk_results, $source_asset_results );
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let $note_results = array::union($note_title_search, $note_content_search );
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let $final_results = array::union($source_results, $note_results );
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RETURN (SELECT item_id, math::max(relevance) as relevance from $final_results
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group by item_id ORDER BY relevance DESC LIMIT $match_count);
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};
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