https://github.com/mharrvic/semantic-search-openai-pinecone

Semantic search with openai's embeddings stored to pineconedb (vector database)
https://github.com/mharrvic/semantic-search-openai-pinecone

neondb nextjs openai pinecone prisma react t3-stack typescript

Last synced: about 1 month ago
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Semantic search with openai's embeddings stored to pineconedb (vector database)

• Host: GitHub
• URL: https://github.com/mharrvic/semantic-search-openai-pinecone
• Owner: mharrvic
• Created: 2022-12-28T14:00:35.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-01-03T08:15:24.000Z (over 1 year ago)
• Last Synced: 2024-07-11T04:34:45.843Z (2 months ago)
• Topics: neondb, nextjs, openai, pinecone, prisma, react, t3-stack, typescript
• Language: TypeScript
• Homepage: https://semantic-search.mharrvic.com/
• Size: 910 KB
• Stars: 146
• Watchers: 4
• Forks: 13
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome - mharrvic/semantic-search-openai-pinecone - Semantic search with openai's embeddings stored to pineconedb (vector database) (TypeScript)

README

        
# Semantic Search with OpenAI Embeddings and Pinecone

Demo link: https://semantic-search.mharrvic.com

You can use this https://public-semantic-search.mharrvic.com/ if you're having authentication issues.

Repo link: [https://github.com/mharrvic/semantic-search-openai-pinecone](https://github.com/mharrvic/semantic-search-openai-pinecone)

This is a demo app that shows how to use [OpenAI Embeddings](https://beta.openai.com/docs/guides/embeddings) and [Pinecone](https://pinecone.io) vector database to build a semantic search engine. Based on https://docs.pinecone.io/docs/semantic-text-search. You can run explore this freely using the free tier of Pinecone and OpenAI.

![semantic-search-openai-pinecone.png](semantic-search-openai-pinecone.png)

## Tech Stack

- [Next.js](https://nextjs.org)

- [NextAuth.js](https://next-auth.js.org)

- [Prisma](https://prisma.io)

- [Tailwind CSS](https://tailwindcss.com)

- [tRPC](https://trpc.io)

- [Pinecone vector db](https://pinecone.io)

- [OpenAI Embeddings](https://beta.openai.com/docs/guides/embeddings)

- [NeonDB serverless postgres db](neon.tech)

## Demo Video

https://user-images.githubusercontent.com/15852818/209995984-25fefed6-956c-4c8e-90c5-e5a3db310c29.mp4

https://user-images.githubusercontent.com/15852818/209996939-06a97708-7bed-4a8e-997a-7df99523727c.mp4

## Learn More

## Input record

![semantic-search-openai-pinecone-input.png](semantic-search-openai-pinecone-input.png)

### Query

![semantic-search-openai-pinecone-query.png](semantic-search-openai-pinecone-query.png)

I recommend to watch this [youtube video](https://www.youtube.com/watch?v=5MaWmXwxFNQ) from AssemblyAI to learn more about embeddings.