feat: weaviate vector database feature added for openai

[Hashcode-Ankit]

Scope

Issue: In the industrial landscape, users often grapple with the challenge of managing vast quantities of data that cannot be shared externally due to privacy or security constraints. However, they possess the capability to securely store and host this data within their own infrastructure.

Resolution: To address this issue, there exist specialized vector databases available in the market. These databases empower users to efficiently store and organize their data by employing customizable data classes. By furnishing configuration details to the underlying framework, users can seamlessly manage their data resources while also gaining access to valuable data insights. This approach enables users to harness the full potential of their data assets while maintaining the necessary control and security measures.

Future Tasks

• [Adding support of weaviate for other models too (currently for openai only)]
• [Adding other vector databases]

Screenshots

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With using weaviate response

Without using weaviate response:

Code improvements

• [Did you add some generic like utility, component, or anything else useful outside of this PR]

Developer checklist

• I’ve manually tested that code works locally on desktop and mobile browsers.
• I’ve reviewed my code.
• I’ve removed all my personal credentials (API keys etc.) from the code.

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Name	Status	Preview	Comments	Updated (UTC)
textbase	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Sep 3, 2023 5:23pm