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Update supabase match_docs ddl and notebook to use expected id type (#7257)

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- Description: Switch supabase match function DDL to use expected uuid
type instead of bigint
- Issue: https://github.com/hwchase17/langchain/issues/6743,
https://github.com/hwchase17/langchain/issues/7179
  - Tag maintainer:  @rlancemartin, @eyurtsev
  - Twitter handle: https://twitter.com/ShantanuNair
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Shantanu Nair 2023-07-06 18:52:41 +05:30 committed by GitHub
parent 0e878ccc2d
commit f773c21723
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2 changed files with 2 additions and 2 deletions
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2
docs/extras/modules/data_connection/vectorstores/integrations/supabase.ipynb
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@ -43,7 +43,7 @@
"\n", "\n",
" CREATE FUNCTION match_documents(query_embedding vector(1536), match_count int)\n", " CREATE FUNCTION match_documents(query_embedding vector(1536), match_count int)\n",
" RETURNS TABLE(\n", " RETURNS TABLE(\n",
" id bigint,\n", " id uuid,\n",
" content text,\n", " content text,\n",
" metadata jsonb,\n", " metadata jsonb,\n",
" -- we return matched vectors to enable maximal marginal relevance searches\n", " -- we return matched vectors to enable maximal marginal relevance searches\n",

2
langchain/vectorstores/supabase.py
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@ -315,7 +315,7 @@ class SupabaseVectorStore(VectorStore):
CREATE FUNCTION match_documents_embeddings(query_embedding vector(1536), CREATE FUNCTION match_documents_embeddings(query_embedding vector(1536),
match_count int) match_count int)
RETURNS TABLE( RETURNS TABLE(
id bigint, id uuid,
content text, content text,
metadata jsonb, metadata jsonb,
embedding vector(1536), embedding vector(1536),