Discover qdrant/api-reference Open Source project by @qdrant

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

18,502

fastembed

Python client for Qdrant vector search engine

916

qdrant-client

Blazing fast framework for fine-tuning similarity learning models

636

quaterion

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

627

awesome-metric-learning

441

vector-db-benchmark

Framework for benchmarking vector search engines

JavaScript/Typescript SDK for Qdrant Vector Database

231

qdrant-js

Rust client for Qdrant vector search engine

204

rust-client

Self-hosted web UI for Qdrant

196

qdrant-web-ui

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

188

page-search

Go client for Qdrant vector search engine

123

go-client

120

qdrant_demo

Demo of the neural semantic search built with Qdrant

A collection of examples and tutorials for Qdrant vector search engine

115

qdrant-helm

examples

Qdrant's Apache Spark connector

qdrant-dotnet

Qdrant .Net SDK

qdrant-spark

Java

qdrant-haystack

An integration of Qdrant ANN vector database backend with Haystack

Collection of datasets for benchmarking filtered vector similarity retrieval

ann-filtering-benchmark-datasets

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

quaterion-models

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

demo-food-discovery

Demo example of consumer goods categorization

goods_categorization_demo

An integration of Qdrant ANN vector database backend with txtai

qdrant-txtai

Official Java client for Qdrant

java-client

Java

workshop-rag-optimization

Notebooks for RAG optimization workshop, using HackerNews data

Write Ahead Logging for Rust

wal

Landing page for qdrant.tech

landing_page

SCSS

bfb

*high-load* benchmarking tool

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

qdrant-rag-eval

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

demo-cloud-faq

Collection of Qdrant benchmarks

benchmark

demo-code-search

Simple pipeline to index markdown files into Qdrant using OpenAI embeddings

qdrant-markdown-indexer

Autocomplete queries using OpenAPI spec

autocomplete-openapi

demo-hnm

quantization

Antipsychotic therapy for qdrant cluster

haloperidol

Shell

mri

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

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

demo-distributed-deployment-docker

Shell

contexto

A simple script to solve contexto.me using word embeddings

Web interface for integrated web-site search powered by Qdrant

page-search-js

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

sparse-vectors-benchmark

Exploration of Midjourney Library styles using Qdrant and NextJS

demo-midlibrary-explorer-nextjs

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

qdrant_python_client

dataset-cloud-platform-faq

HTML

qdrant-qa-workshop

sparse-vectors-experiments

Coach running drills to train qdrant deployments

qdrant-langchain-qa

HTML

coach

Extracts semantics from rust code

rust-parser

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.

qdrant-stars-handbook

rivet-plugin-qdrant

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

tutorials

An example of integrating Qdrant with FiftyOne

demo-qdrant-fiftyone

qdrant-genkit

crasher

Crashing the party