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https://github.com/QuivrHQ/quivr.git
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ca93cb9062
# Description
- Added package manager
- Added precommit checks
- Rewrote dependency injection of Services and Repositories
- Integrate async SQL alchemy engine
- Migrate Chat repository to SQLModel
- Migrated ChatHistory repository to SQLModel
- User SQLModel
- Unit test methodology with db rollback
- Unit tests ChatRepository
- Test ChatService get_history
- Brain entity SQL Model
- Promp SQLModel
- Rewrite chat/{chat_id}/question route
- updated docker files and docker compose in dev and production
Added `quivr_core` subpackages:
- Refactored KnowledgebrainQa
- Added Rag service to interface with non-rag dependencies
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Co-authored-by: aminediro <aminediro@github.com>
26 lines
699 B
PL/PgSQL
26 lines
699 B
PL/PgSQL
alter table "public"."brains" add column "meaning" vector;
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alter table "public"."brains" alter column "description" set default 'This needs to be changed'::text;
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alter table "public"."brains" alter column "description" set not null;
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set check_function_bodies = off;
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CREATE OR REPLACE FUNCTION public.match_brain(query_embedding vector, match_count integer)
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RETURNS TABLE(id uuid, name text, similarity double precision)
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LANGUAGE plpgsql
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AS $function$
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#variable_conflict use_column
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begin
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return query
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select
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brain_id,
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name,
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1 - (brains.meaning <=> query_embedding) as similarity
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from brains
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order by brains.meaning <=> query_embedding
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limit match_count;
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end;
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$function$
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;
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