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scram-sha-256
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2020ca495c
@ -13,7 +13,8 @@ spec:
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pg_stat_statements.max: '10000'
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pg_stat_statements.max: '10000'
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pg_stat_statements.track: all
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pg_stat_statements.track: all
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pg_hba:
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pg_hba:
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- host prole all all md5
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- host all all all scram-sha-256
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- hostssl prole prole-db all scram-sha-256
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bootstrap:
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bootstrap:
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initdb:
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initdb:
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@ -0,0 +1,64 @@
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create table if not exists documents
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(
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id text primary key default gen_random_uuid()::text,
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source text,
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source_id text,
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content text,
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document_id text,
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author text,
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url text,
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created_at timestamptz default now(),
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embedding vector(1536)
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);
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create or replace function match_page_sections(
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in_embedding vector(1536),
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in_match_count int default 3,
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in_document_id text default '%%',
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in_source_id text default '%%',
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in_source text default '%%',
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in_author text default '%%',
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in_start_date timestamptz default '-infinity',
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in_end_date timestamptz default 'infinity'
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)
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returns table
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(
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id text,
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source text,
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source_id text,
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document_id text,
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url text,
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created_at timestamptz,
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author text,
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content text,
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embedding vector(1536),
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similarity float
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)
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language plpgsql
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as
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$$
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# variable_conflict use_variable
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begin
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return query
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select documents.id,
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documents.source,
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documents.source_id,
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documents.document_id,
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documents.url,
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documents.created_at,
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documents.author,
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documents.content,
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documents.embedding,
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(documents.embedding <#> in_embedding) * -1 as similarity
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from documents
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where in_start_date <= documents.created_at
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and documents.created_at <= in_end_date
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and (documents.source_id like in_source_id or documents.source_id is null)
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and (documents.source like in_source or documents.source is null)
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and (documents.author like in_author or documents.author is null)
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and (documents.document_id like in_document_id or documents.document_id is null)
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order by documents.embedding <#> in_embedding
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limit in_match_count;
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end;
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$$;
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