b7e656a319
New front-end Launch Chat API Manage Sources Enable re-embedding of all contents Sources can be added without a notebook now Improved settings Enable model selector on all chats Background processing for better experience Dark mode Improved Notes Improved Docs: - Remove all Streamlit references from documentation - Update deployment guides with React frontend setup - Fix Docker environment variables format (SURREAL_URL, SURREAL_PASSWORD) - Update docker image tag from :latest to :v1-latest - Change navigation references (Settings → Models to just Models) - Update development setup to include frontend npm commands - Add MIGRATION.md guide for users upgrading from Streamlit - Update quick-start guide with correct environment variables - Add port 5055 documentation for API access - Update project structure to reflect frontend/ directory - Remove outdated source-chat documentation files
66 lines
No EOL
2.3 KiB
Text
66 lines
No EOL
2.3 KiB
Text
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REMOVE FUNCTION IF EXISTS 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, $min_similarity: float) {
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let $source_embedding_search =
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IF $sources {(
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SELECT
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source.id as id,
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source.title as title,
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content,
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source.id as parent_id,
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vector::similarity::cosine(embedding, $query) as similarity
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FROM source_embedding
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WHERE embedding != none and array::len(embedding)=array::len($query) AND
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vector::similarity::cosine(embedding, $query) >= $min_similarity
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ORDER BY similarity DESC
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LIMIT $match_count
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)}
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ELSE { [] };
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let $source_insight_search =
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IF $sources {(
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SELECT
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id,
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insight_type + ' - ' + (source.title OR '') as title,
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content,
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source.id as parent_id,
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vector::similarity::cosine(embedding, $query) as similarity
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FROM source_insight
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WHERE embedding != none and array::len(embedding)=array::len($query) AND
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vector::similarity::cosine(embedding, $query) >= $min_similarity
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ORDER BY similarity DESC
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LIMIT $match_count
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)}
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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
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id,
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title,
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content,
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id as parent_id,
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vector::similarity::cosine(embedding, $query) as similarity
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FROM note
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WHERE embedding != none and array::len(embedding)=array::len($query) AND
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vector::similarity::cosine(embedding, $query) >= $min_similarity
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ORDER BY similarity DESC
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LIMIT $match_count
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)}
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ELSE { [] };
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let $all_results = array::union(
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array::union($source_embedding_search, $source_insight_search),
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$note_content_search
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);
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RETURN (select id, parent_id, title, math::max(similarity) as similarity,
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array::flatten(content) as matches
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from $all_results where id is not None
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group by id, parent_id, title ORDER BY similarity DESC LIMIT $match_count);
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}; |