How to Build a Chatbot with Langchain, Next.js, OpenAI, and Supabase

Building a Chatbot System That Can Be Trained With Custom Data From PDF Files https://www.linkedin.com/embed/feed/update/urn:li:ugcPost:7208975610667311104?source=post_page-----a770e3fa9163--------------------------------&embedable=true In this tutorial, we will create a chatbot system that can be trained with custom data from PDF files. The chatbot will utilize Next.

This table will be used to store and embed the content of our uploaded PDF files in vector format: create table if not exists documents ); create table if not exists documents ); Now, we need a function to query our embedded data: create or replace function match_documents , match_count int default null, filter jsonb default '{}' ) returns table language plpgsql as $$ begin return query select id, content, metadata, 1 - as similarity from documents where metadata @> filter order by...

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