---
name: Qdrant Clients SDK
slug: qdrant-clients-sdk
category: AI Engineering
description: Qdrant Clients SDK provides official client libraries for Python, JavaScript, Rust, Go, .NET, and Java. Use it to connect applications to Qdrant through REST or gRPC and to fetch code snippets for common tasks.
github: "https://github.com/qdrant/skills/tree/main/skills/qdrant-clients-sdk"
language: Python
stars: 230
forks: 28
install: "npx degit https://github.com/qdrant/skills/tree/main/skills/qdrant-clients-sdk ~/.claude/skills/qdrant-clients-sdk"
installs_to: ~/.claude/skills/qdrant-clients-sdk
source_path: skills/qdrant-clients-sdk/SKILL.md
collection_size: 25
category_size: 2793
collection_url: "https://dirskills.com/collections/qdrant/skills"
added: 2026-09-03T06:04:22.530Z
last_synced: 2026-09-03T06:04:22.530Z
canonical_url: "https://dirskills.com/skills/qdrant-clients-sdk"
---

# Qdrant Clients SDK

Qdrant Clients SDK provides official client libraries for Python, JavaScript, Rust, Go, .NET, and Java. Use it to connect applications to Qdrant through REST or gRPC and to fetch code snippets for common tasks.

**Install:**

```bash
npx degit https://github.com/qdrant/skills/tree/main/skills/qdrant-clients-sdk ~/.claude/skills/qdrant-clients-sdk
```

## README

# Qdrant Clients SDK

Qdrant has the following officially supported client SDKs:

- Python — [qdrant-client](https://github.com/qdrant/qdrant-client) · Installation: `pip install qdrant-client[fastembed]`
- JavaScript / TypeScript — [qdrant-js](https://github.com/qdrant/qdrant-js) · Installation: `npm install @qdrant/js-client-rest`
- Rust — [rust-client](https://github.com/qdrant/rust-client) · Installation: `cargo add qdrant-client`
- Go — [go-client](https://github.com/qdrant/go-client) · Installation: `go get github.com/qdrant/go-client`
- .NET — [qdrant-dotnet](https://github.com/qdrant/qdrant-dotnet) · Installation: `dotnet add package Qdrant.Client`
- Java — [java-client](https://github.com/qdrant/java-client) · Available on Maven Central: https://central.sonatype.com/artifact/io.qdrant/client


## API Reference

All interaction with Qdrant can happen through the REST API or gRPC API. We recommend using the REST API if you are using Qdrant for the first time or working on a prototype.

* REST API - [OpenAPI Reference](https://skills.qdrant.tech/api-reference.md) - [GitHub](https://github.com/qdrant/qdrant/blob/master/docs/redoc/master/openapi.json)
* gRPC API - [gRPC protobuf definitions](https://github.com/qdrant/qdrant/tree/master/lib/api/src/grpc/proto)

## Code examples

To obtain code examples for a specific client and use case, you can send a search request to the library of curated code snippets for the Qdrant client.

```bash
curl -X GET "https://skills.qdrant.tech/snippets/search?language=python&query=how+to+upload+points"
```

Available languages: `python`, `typescript`, `rust`, `java`, `go`, `csharp`


Response example:

```markdown

## Snippet 1

*qdrant-client* (vlatest) — https://skills.qdrant.tech/md/documentation/manage-data/points/

Uploads multiple vector-embedded points to a Qdrant collection using the Python qdrant_client (PointStruct) with id, payload (e.g., color), and a 3D-like vector for similarity search. It supports parallel uploads (parallel=4) and a retry policy (max_retries=3) for robust indexing. The operation is idempotent: re-uploading with the same id overwrites existing points; if ids aren’t provided, Qdrant auto-generates UUIDs.

client.upload_points(
    collection_name="{collection_name}",
    points=[
        models.PointStruct(
            id=1,
            payload={
                "color": "red",
            },
            vector=[0.9, 0.1, 0.1],
        ),
        models.PointStruct(
            id=2,
            payload={
                "color": "green",
            },
            vector=[0.1, 0.9, 0.1],
        ),
    ],
    parallel=4,
    max_retries=3,
)
```

Default response format is markdown, if snippet output is required in JSON format, you can add `&format=json` to the query string.