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OpenAI Embeddings and Vector Databases Crash Course

Embeddings and Vectors are an effective way of storing and retrieving data to be used with AI companies. OpenAI supplies an amazing embedding API to do that. Postman enables you to make these with simple at https://www.postman.com/ (at present’s sponsor)

On this video we are going to discover easy methods to create a Vector Database by creating embeddings utilizing the OpenAI API after which storing them in SingleStore.

The primary a part of the video will cowl easy methods to create an embedding utilizing simply API requests with Postman. Then we are going to bounce into Single Retailer and retailer these in a brand new database made particularly for vectors like this.

00:00 – Introduction00:10 – What are Embeddings and Vectors02:14 – Setup OpenAI Embeddings03:11 – Setup Postman API Requests to create Embeddings03:55 – Create Embedding03:55 – Create Embedding06:55 – Create PDF or Doc Embedding07:43 – Vector Database – Setup with SingleStore08:20 – Vector Database – Create Database09:32 – Vector Database – Create Desk10:41 – Vector Database – Insert Embedding Row13:25 – Vector Database – Search Embeddings15:18 – Embedding operate with JavaScript and NodeJS18:08 – OpenAI and GPT Digital E book18:29 – Conclusion

Postman: (at present’s Sponsor) for API Requestshttps://www.postman.com/

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