Home
Feed

Extend

Hashnode Pro
Hashnode for Agents

Resources

The foreword
Hashnode gql skill

Buildful - AI coding agent that delivers frontier-level results at a fraction of the cost Bug0 - The AI-native e2e QA regression testing Hackathons Changelog Brand @hashnode on X Hashnode on LinkedIn Support - hello+support@hashnode.com Code of Conduct Terms Privacy Sitemap

Search Hashnode

Search posts, tags, users, and pages

Feed/

Discussion

Semantic Search using OpenAI Embedding and Postgres Vector DB in NodeJS

Learn how to implement Semantic Search using OpenAI Embedding and Postgres Vector DB in NodeJS. Get fast and accurate search results with this step-by-step

Mar 21, 2023·5 min read·dev.fandyaditya.comUpdated Mar 23, 2023Read the article

#openai

#semantic-search

#postgresql

Written by

Fandy Aditya Wirana

@fandyadityaw · Bali, Indonesia

View profile

I experiment with things and then share my findings with others.

I am always eager to experiment with new technology and share my experiences and insights gained through trial and error. Currently working as Backend Engineer.

Responses1

Markdown supported · ⌘↵ to post

Jeronimo Reguera

Jun 19, 2023

Great post, congratulations! I'm stuck on error 400 in the last step: node server.js ("'input' is a required property", 'invalid_request_error'). Any support?

Fandy Aditya Wirana

Jun 20, 2023

Hey, I think that error from openAI Create embedding response. Maybe they detected no input from the apps Are you already add value to the q params?

Jeronimo Reguera

Jun 20, 2023

Fandy Aditya Wirana Hi, you are right, I just needed the input (i.e. the q param), but did not expect to break the code trying to access localhost:9000. Thanks for your reply.

Fandy Aditya Wirana

Jun 21, 2023

You're welcome!