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Add Qdrant REST client to the vector database package - #649

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arakoodev:tsfrom
JoaquinBatser:feat/qdrant-rest-client
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JoaquinBatser wants to merge 1 commit into
arakoodev:tsfrom
JoaquinBatser:feat/qdrant-rest-client

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@JoaquinBatser

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Add a Qdrant REST client to the current @arakoodev/edgechains.js/vector-db export. It supports collection creation, vector/payload upserts, filtered similarity queries, point deletion, and collection deletion without a Qdrant SDK dependency. Requests support API-key authentication, configurable deadlines, and HTTP/API error reporting.

The issue's original lib/src/lib/clients path has moved; this change uses the current JS/edgechains/arakoodev/src/vector-db package. The runnable example inserts fixed embeddings, searches within a namespace, and removes its temporary collection.

Closes #273.

/claim #273

Short demonstration: rendered transcript of the example's actual output against Qdrant 1.19.1, not a screen recording or mocked database.

Validation on Windows/Node 24:

  • 11 REST transport tests passed using a local HTTP test endpoint, covering wire requests, filters, errors, deadline cancellation, and redirects.
  • The live Qdrant 1.19.1 integration test passed: create, insert, filtered ranking, delete, re-query, cleanup.
  • The documented example ran successfully against the same live server.
  • Full package TypeScript check and build passed (tsc --noEmit, tsc -b). Changed TypeScript files were formatted with the repository's Prettier configuration.

Run QDRANT_URL=http://localhost:6333 npx vitest run src/vector-db/src/tests/qdrant from JS/edgechains/arakoodev. Without QDRANT_URL, only the live test is skipped. No embedding-provider credentials are needed. The query API requires Qdrant 1.10+.

This contribution was developed with AI assistance.

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github-actions Bot commented Sep 7, 2026

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CLA Assistant Lite bot: Thank you for your submission, we really appreciate it. Before we can accept your contribution, we ask that you sign the Arakoo Contributor License Agreement. You can sign the CLA by adding a new comment to this pull request and pasting exactly the following text.


I have read the Arakoo CLA Document and I hereby sign the CLA


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BOUNTY: add support for qdrant vector database in javascript sdk

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