Qdrantの公開GitHubフットプリント

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

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

An official Qdrant Model Context Protocol (MCP) server implementation

Python client for Qdrant vector search engine

Blazing fast framework for fine-tuning similarity learning models

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

JavaScript/Typescript SDK for Qdrant Vector Database

Self-hosted web UI for Qdrant

Rust client for Qdrant vector search engine

Framework for benchmarking vector search engines

Go client for Qdrant vector search engine

Qdrant .Net SDK

A collection of examples and tutorials for Qdrant vector search engine

Demo of the neural semantic search built with Qdrant

このリポジトリに関する説明は提供されていません。

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

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

Official Java client for Qdrant

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

Tool to migrate data into Qdrant

Official n8n node for interfacing with Qdrant

Evaluation of bm42 sparse indexing algorithm

Collection of datasets for benchmarking filtered vector similarity retrieval

このリポジトリに関する説明は提供されていません。

Landing page for qdrant.tech

POC visual search with smart glasses and Qdrant Edge.

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

Qdrant's Apache Spark connector

Materials for the Ultimate Hybrid Search Workshop

An integration of Qdrant ANN vector database backend with Haystack

Write Ahead Logging for Rust

このリポジトリに関する説明は提供されていません。

Contextualized per-token embeddings

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

Demo example of consumer goods categorization

An implementation of a CrewAI agent acting as a personal assistant. The agent can draft emails based on the knowledge base built in Obsidian.

Trainable embedding transformation for confidence estimation, feature extraction, explainability and conversion from dense to sparse.

An integration of Qdrant ANN vector database backend with txtai

Notebooks for RAG optimization workshop, using HackerNews data

*high-load* benchmarking tool

The Command Line Interface for Qdrant Cloud

An attempt to live code a working Retrieval Augmented Generation app with AI coding tools

Real-time video anomaly detection from edge to cloud using Qdrant, Twelve Labs, and NVIDIA VSS

Upload and benchmark of LAION 400M dataset - large scale image similarity search

このリポジトリに関する説明は提供されていません。

Fine-tune SPLADE sparse embedding models for your product catalog. CLI, web dashboard, and Python API.

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Notebooks for RAG improving workshop, using HackerNews data

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

Simple pipeline to index markdown files into Qdrant using OpenAI embeddings

このリポジトリに関する説明は提供されていません。

MCP server for accessing documentation and code snippets of dev tools. Based on `mcp-server-qdrant`

Antipsychotic therapy for qdrant cluster

Exploration of Midjourney Library styles using Qdrant and NextJS

このリポジトリに関する説明は提供されていません。

このリポジトリに関する説明は提供されていません。

A simple script to solve contexto.me using word embeddings

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.

Repository for Qdrant's API Reference Documentation

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

Stream records from Fluvio topics to a Qdrant collection.

Extracts semantics from rust code

このリポジトリに関する説明は提供されていません。

Autocomplete queries using OpenAPI spec

このリポジトリに関する説明は提供されていません。

API definitions for the Qdrant Kubernetes operator

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

Qdrant powered retriever module for DSPy

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

Scripts for benchmarking Qdrant with Cohere Wiki dataset

Crashing the party

A template for a FastHTML app implementing hybrid search with Qdrant

このリポジトリに関する説明は提供されていません。

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

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Web demo for miniCOIL model

Coach running drills to train qdrant deployments

Common helper packages to use across Go based Qdrant projects.

Tools to help Qdrant Cloud users troubleshoot issues and help Qdrant Support Engineers diagnose problems

このリポジトリに関する説明は提供されていません。

A rust implementation of some popular snowball stemming algorithms

LocalStack Extension for developing Qdrant-based applications locally.

The GitOps Toolkit Helm reconciler, for declarative Helming

An example of integrating Qdrant with FiftyOne

Collection of Buf plugins used by Qdrant Cloud APIs

A native gRPC client & server implementation with async/await support.

Qdrant's Homebrew Tap

NVIDIA Metropolis VSS + Twelve Labs integration for video understanding

このリポジトリに関する説明は提供されていません。

Simple example of monitoring Qdrant cluster with Prometheus and Grafana

Benchmarks of approximate nearest neighbor libraries in Python

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This repository contains a challenge task for Core Rust Engineer position

Exporter parses kernel log for oomkilled pods

Protocol Buffers for ECMAScript. The only JavaScript Protobuf library that is fully-compliant with Protobuf conformance tests.

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Tar file reading/writing for Rust

Sophisticated form to create qdrant collections simple

An HTTP library for Rust

A rust implementation of murmur3