Unofficial Go client for Qdrant vector search engine

This is Qdrant's unofficial Go client, designed to enable you to use Qdrant's services easily from your own applications.

Qdrant

Qdrant is a vector database that allows you to build high-performance vector search applications.

API support

collections

• ✅ list
• ✅ create
• ✅ collect info
• ✅ update
• ✅ delete
• ❌ update aliases
• ✅ create index
• ✅ delete index
• ❌ cluster info
• ❌ update cluster setup
• ❌ list aliases
• ❌ recover from uploaded snapshot
• ❌ recover from snapshot
• ❌ create snapshot
• ❌ delete snapshot
• ❌ download snapshot

points

• ✅ get point
• ✅ get points
• ✅ upsert points
• ✅ delete points
• ✅ update vectors
• ✅ delete vectors
• ❌ set payload
• ❌ overwrite payload
• ❌ delete payload
• ❌ clear payload
• ❌ scroll payload
• ✅ search points
• ❌ search batch points
• ❌ search point groups
• ❌ recommend points
• ❌ recommend batch points
• ❌ recommend point groups
• ❌ count points

cluster

• ❌ cluster status info
• ❌ tries to recover current peer Raft state
• ❌ remove peer
• ❌ collection cluster info
• ❌ update collection cluster setup

snapshots

• ❌ recover from uploaded snapshot
• ❌ recover from snapshot
• ❌ list collection snapshots
• ❌ create collection snapshot
• ❌ delete collection snapshot
• ❌ download collection snapshot
• ❌ list storage snapshots
• ❌ create storage snapshot
• ❌ delete storage snapshot
• ❌ download storage snapshot

service

• ❌ collect telemetry data
• ❌ collect Prometheus metrics data
• ❌ set lock options
• ❌ get lock options

Getting started

Installation

You can load qdrant-go into your project by using:

go get github.com/henomis/qdrant-go

Run Qdrant

You can run Qdrant using Docker:

docker run -p 6333:6333 --name qdrant --rm -v $(pwd)/config.yaml:/qdrant/config/production.yaml qdrant/qdrant

config.yaml file:

service:
  api_key: secret-api-key

Please refer to the official documentation for more information about Qdrant.

Configuration

The only thing you need to start using Qdrant's APIs is the API key. Copy and paste it in the corresponding place in the code, select the API and the parameters you want to use, and that's it.

Usage

Please refer to the examples folder to see how to use the SDK.

Here below a simple usage example:

package main

import (
	"context"
	"fmt"

	qdrantgo "github.com/henomis/qdrant-go"
	"github.com/henomis/qdrant-go/request"
	"github.com/henomis/qdrant-go/response"
)

func main() {

	client := qdrantgo.New("http://localhost:6333", "secret-api-key")

	onDisk := true
	resp := &response.CollectionCreate{}
	err := client.CollectionCreate(
		context.Background(),
		&request.CollectionCreate{
			CollectionName: "test",
			Vectors: request.VectorsParams{
				Size:     4,
				Distance: request.DistanceCosine,
				OnDisk:   &onDisk,
			},
		},
		resp,
	)
	if err != nil {
		panic(err)
	}

	fmt.Printf("resp: %#v\n", resp)

}

Who uses qdrant-go?

• LinGoose Go framework for building awesome LLM apps