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@qdrant

qdrant

Stars
24,612
Global Org. Rank 840 (Top 0.3 %)
Registered about 4 years ago
Most used languages

Python
28.3 %

Rust
18.3 %

Jupyter Notebook
13.3 %

JavaScript
8.3 %

Java
6.7 %

Go
6.7 %

TypeScript
6.7 %

Shell
3.3 %

HTML
3.3 %

C#
1.7 %

SCSS 1.7 %

HCL 1.7 %
Location 🇩🇪 Germany
Country Total Rank 68
Country Ranking

Rust
3

Python
69

SCSS 86

Jupyter Notebook
129

TypeScript
245

Go
284

C#
425

HCL 497

JavaScript
826

Java
857

Shell
2,319

HTML
2,460

qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

fastembed

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

qdrant-client

Python client for Qdrant vector search engine

quaterion

Blazing fast framework for fine-tuning similarity learning models

awesome-metric-learning

😎 A curated list of awesome practical Metric Learning and its applications

vector-db-benchmark

Framework for benchmarking vector search engines

qdrant-js

JavaScript/Typescript SDK for Qdrant Vector Database

rust-client

Rust client for Qdrant vector search engine

qdrant-web-ui

Self-hosted web UI for Qdrant

go-client

Go client for Qdrant vector search engine

qdrant_demo

Demo of the neural semantic search built with Qdrant

page-search

Neural search for web-sites, docs, articles - online!

qdrant-helm

examples

A collection of examples and tutorials for Qdrant vector search engine

Jupyter Notebook

qdrant-dotnet

Qdrant .Net SDK

bm42_eval

Evaluation of bm42 sparse indexing algorithm

qdrant-haystack

An integration of Qdrant ANN vector database backend with Haystack

qdrant-spark

Qdrant's Apache Spark connector

java-client

Official Java client for Qdrant

qdrant-rag-eval

This repo is the central repo for all the RAG Evaluation reference material and partner workshop

Jupyter Notebook

demo-food-discovery

Source code of the food discovery demo built on top of Qdrant

ann-filtering-benchmark-datasets

Collection of datasets for benchmarking filtered vector similarity retrieval

quaterion-models

The collection of bulding blocks building fine-tunable metric learning models

goods_categorization_demo

Demo example of consumer goods categorization

Jupyter Notebook

wal

Write Ahead Logging for Rust

qdrant-txtai

An integration of Qdrant ANN vector database backend with txtai

workshop-rag-optimization

Notebooks for RAG optimization workshop, using HackerNews data

Jupyter Notebook

landing_page

Landing page for qdrant.tech

demo-code-search

bfb

*high-load* benchmarking tool

workshop-ultimate-hybrid-search

Materials for the Ultimate Hybrid Search Workshop

Jupyter Notebook

demo-cloud-faq

Demo of fine-tuning QA models for answering FAQ of cloud providers documentation

benchmark

Collection of Qdrant benchmarks

demo-hnm

Jupyter Notebook

qdrant-markdown-indexer

Simple pipeline to index markdown files into Qdrant using OpenAI embeddings

autocomplete-openapi

Autocomplete queries using OpenAPI spec

mri

A simple tool to monitor process resource usage as frequent as possible

quantization

haloperidol

Antipsychotic therapy for qdrant cluster

demo-midlibrary-explorer-nextjs

Exploration of Midjourney Library styles using Qdrant and NextJS

qdrant-kafka

Kafka Sink connector for Qdrant. Stream vector data into a Qdrant collection. Supports named/unnamed dense/sparse vectors.

page-search-js

Web interface for integrated web-site search powered by Qdrant

demo-distributed-deployment-docker

An example of setting up the distributed deployment of Qdrant with docker-compose

qdrant-genkit

contexto

A simple script to solve contexto.me using word embeddings

sparse-vectors-benchmark

This is a benchmarking tool for Qdrant's sparse vector implementation

api-reference

Repository for Qdrant's API Reference Documentation

qdrant_python_client

Qdrant Python client, generated from OpenAPI specification (with minor fixes)

dataset-cloud-platform-faq

qdrant-qa-workshop

Jupyter Notebook

sparse-vectors-experiments

rust-parser

Extracts semantics from rust code

qdrant-stars-handbook

The primary goal of Qdrant Stars is to recognize, reward, and support our most active and helpful users making significant contributions to the vector search community. The Qdrant Stars Handbook is your go-to resource for navigating the Stars program and how to take the most advantage of it.

rivet-plugin-qdrant

qdrant-langchain-qa

terraform-provider-qdrant-cloud

A Terraform plugin that allows to manage and configure Qdrant Cloud resources

coach

Coach running drills to train qdrant deployments

crasher

Crashing the party

tutorials

This repo contains tutorials, demos, and how-to guides on how to use Qdrant and adjacent technologies.

Jupyter Notebook

hybrid-cloud-examples

demo-qdrant-fiftyone

An example of integrating Qdrant with FiftyOne

template-hybrid-search-fasthtml

A template for a FastHTML app implementing hybrid search with Qdrant