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Qdrant Elixir Client

Qdrant Elixir Client is an Elixir REST library for communicating with the Qdrant vector search engine. It provides client and endpoint functions for collection management, vector and point operations, search and query tasks, snapshots, and cluster or service operations.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Qdrant Elixir Client — OpenViST project profile in AI Developer Tools & SDKs.
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Understand the project

Practical overview

When it fits

Use it when an Elixir application needs a client library for Qdrant's REST interface, including vector operations and collection management.

Who it is for

  • Elixir developers integrating Qdrant vector search into an application or service.
  • Teams building Elixir services that need to store, retrieve, or query vectors through Qdrant's REST API.

Documented uses

  • Create collections and payload indexes.
  • Upsert points and retrieve or query vectors.
  • Use recommendation, discovery, and other point-query operations.
  • Manage collection aliases and inspect cluster or service status.
  • Download or upload snapshots, including file-based workflows.
Before you choose

Requirements & limits

The README describes the package as available on Hex and identifies the repository license as MIT.

  • The client supports REST only; gRPC is unsupported.
  • The production HTTP adapter is Tesla.Adapter.Finch, backed by a supervised Finch pool.
  • The default maximum in-memory response size is 50 MiB; file-based snapshot functions are available for large snapshot transfers.
  • Cloud Qdrant hosts require an API key by default, and remote plain-HTTP requests carrying a key are rejected unless insecure-key use is explicitly enabled.
  • The README says the library is under active development and subject to change.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Add the client and configure a Qdrant connection

Set up the library dependency and construct an explicit client with a Qdrant URL and optional API key.

Before you start

  • An Elixir application using Mix.
  • A Qdrant base URL.
  • An API key when required by the Qdrant endpoint.

Steps

  1. Add {:qdrant, "~> 0.1.18"} to the dependencies in mix.exs.

  2. Create a client with Qdrant.Client.new!, supplying the Qdrant URL and, if needed, an API key such as System.fetch_env!("QDRANT_API_KEY").

Expected outcome

An explicit client configured with its own URL, credentials, adapter, and timeout settings.

Guide limitations

  • The client targets Qdrant 1.18.x.
  • gRPC is unsupported.
  • API keys are rejected over remote plain HTTP unless allow_insecure_api_key: true is explicitly set.
Documentation 1 ↗
Source-based practical guide

Create a collection, upsert points, and query vectors

Use the client to create a Qdrant collection, store a point, and retrieve query results.

Before you start

  • A configured Qdrant.Client.
  • A reachable Qdrant service compatible with the client's target.

Steps

  1. Call Qdrant.create_collection with a collection name and vector configuration.

  2. Call Qdrant.upsert_points with point IDs, vectors, and any payload.

  3. Call Qdrant.query_points with a vector query and result limit, then read points from the response's result field.

Expected outcome

The documented request sequence for creating a collection, inserting a vector point, and accessing query results.

Guide limitations

  • The example assumes Qdrant accepts the supplied vector dimensions and request parameters.
  • Batch search, recommendation, discovery, and query calls require a %{searches: [...]} wrapper.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
marinac-dev/qdrant · Official homepage title · retained in its source language
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