feat: Qdrant support for RAG

[Anush008]

Description

This PR adds support for Qdrant - https://qdrant.tech to be used for RAG in Vespper.

To run Qdrant:

docker run -p 6333:6333 qdrant/qdrant

You can find the dashboard to view the data at http://locahost:6333/dashboard/

Set the env:

QDRANT_URL=http://locahost:6333/

Note

I'm in the process of QA testing.

---

[!IMPORTANT] Adds Qdrant support for RAG in Vespper, including new classes and updates to existing models and utilities.

• Behavior:
  • Adds Qdrant support for RAG in Vespper.
  • New QdrantVectorStore class in qdrant.ts and qdrant.py for handling Qdrant operations.
  • Updates getVectorStore() in utils.ts and utils.py to include Qdrant.
• Models:
  • Updates IIndex type in types.ts and db_types.py to include qdrant as a valid type.
  • Updates IndexSchema in db-index.ts to include qdrant in the enum.
• Dependencies:
  • Adds @qdrant/js-client-rest to package.json.
  • Adds llama-index-vector-stores-qdrant to pyproject.toml.

^{This description was created by for d1b56133bffb73b16eddac0d2f7289716e7e7968. It will automatically update as commits are pushed.}

[david1542]

Hi @Anush008! Thanks a lot for this PR. I'll try my best to review it tomorrow PDT

[topaztee]

@ellipsis-dev review this

[david1542]

Thanks for the PR @Anush008. Approved