From 1ecbeec24e90779b1f54b9afd8e5a10045cec681 Mon Sep 17 00:00:00 2001 From: Daniel Chalef <131175+danielchalef@users.noreply.github.com> Date: Fri, 21 Apr 2023 11:21:23 -0600 Subject: [PATCH] Fix example match_documents fn table name, grammar (#3294) ref https://github.com/hwchase17/langchain/pull/3100#issuecomment-1517086472 Co-authored-by: Daniel Chalef --- .../indexes/vectorstores/examples/supabase.ipynb | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/docs/modules/indexes/vectorstores/examples/supabase.ipynb b/docs/modules/indexes/vectorstores/examples/supabase.ipynb index 636e1d9d..2d48ad9f 100644 --- a/docs/modules/indexes/vectorstores/examples/supabase.ipynb +++ b/docs/modules/indexes/vectorstores/examples/supabase.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "683953b3", "metadata": {}, @@ -35,7 +36,7 @@ " id bigint,\n", " content text,\n", " metadata jsonb,\n", - " -- we return matched vectors to allow to execute maximal marginal relevance searches\n", + " -- we return matched vectors to enable maximal marginal relevance searches\n", " embedding vector(1536),\n", " similarity float)\n", " LANGUAGE plpgsql\n", @@ -48,11 +49,11 @@ " content,\n", " metadata,\n", " embedding,\n", - " 1 -(docstore.embedding <=> query_embedding) AS similarity\n", + " 1 -(documents.embedding <=> query_embedding) AS similarity\n", " FROM\n", - " docstore\n", + " documents\n", " ORDER BY\n", - " docstore.embedding <=> query_embedding\n", + " documents.embedding <=> query_embedding\n", " LIMIT match_count;\n", " END;\n", " $$;\n", @@ -390,7 +391,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.11.3" } }, "nbformat": 4,