Creating advanced vector search technology
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Qdrant is an organization on GitHub focused on advanced vector search technology. Their public presence includes a wide range of repositories primarily written in Python, Rust, and TypeScript. Notable projects include qdrant, a vector database, and fastembed, a library for embedding, showcasing their commitment to innovation in AI applications.
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Public repositories
qdrant
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/
fastembed
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
mcp-server-qdrant
An official Qdrant Model Context Protocol (MCP) server implementation
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
qdrant-js
JavaScript/Typescript SDK for Qdrant Vector Database
qdrant-web-ui
Self-hosted web UI for Qdrant
rust-client
Rust client for Qdrant vector search engine
vector-db-benchmark
Framework for benchmarking vector search engines
go-client
Go client for Qdrant vector search engine
qdrant-dotnet
Qdrant .Net SDK
examples
A collection of examples and tutorials for Qdrant vector search engine
qdrant_demo
Demo of the neural semantic search built with Qdrant
qdrant-helm
No description provided for this repository.
skills
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
page-search
Neural search for web-sites, docs, articles - online!
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
migration
Tool to migrate data into Qdrant
n8n-nodes-qdrant
Official n8n node for interfacing with Qdrant
bm42_eval
Evaluation of bm42 sparse indexing algorithm
ann-filtering-benchmark-datasets
Collection of datasets for benchmarking filtered vector similarity retrieval
demo-code-search
No description provided for this repository.
landing_page
Landing page for qdrant.tech
qdrant-edge-demo
POC visual search with smart glasses and Qdrant Edge.
demo-food-discovery
Source code of the food discovery demo built on top of Qdrant
qdrant-spark
Qdrant's Apache Spark connector
workshop-ultimate-hybrid-search
Materials for the Ultimate Hybrid Search Workshop
qdrant-haystack
An integration of Qdrant ANN vector database backend with Haystack
wal
Write Ahead Logging for Rust
demo-colpali-optimized
No description provided for this repository.
miniCOIL
Contextualized per-token embeddings
quaterion-models
The collection of bulding blocks building fine-tunable metric learning models
goods_categorization_demo
Demo example of consumer goods categorization
webinar-crewai-qdrant-obsidian
An implementation of a CrewAI agent acting as a personal assistant. The agent can draft emails based on the knowledge base built in Obsidian.
block-embeddings
Trainable embedding transformation for confidence estimation, feature extraction, explainability and conversion from dense to sparse.
qdrant-txtai
An integration of Qdrant ANN vector database backend with txtai
workshop-rag-optimization
Notebooks for RAG optimization workshop, using HackerNews data
bfb
*high-load* benchmarking tool
qcloud-cli
The Command Line Interface for Qdrant Cloud
webinar-vibe-coding-rag
An attempt to live code a working Retrieval Augmented Generation app with AI coding tools
video-anomaly-edge
Real-time video anomaly detection from edge to cloud using Qdrant, Twelve Labs, and NVIDIA VSS
laion-400m-benchmark
Upload and benchmark of LAION 400M dataset - large scale image similarity search
qdrant-cloud-public-api
No description provided for this repository.
sparse-finetune
Fine-tune SPLADE sparse embedding models for your product catalog. CLI, web dashboard, and Python API.
mcp-code-snippets
No description provided for this repository.
workshop-improving-r-in-rag
Notebooks for RAG improving workshop, using HackerNews data
qdrant-kafka
Kafka Sink connector for Qdrant. Stream vector data into a Qdrant collection. Supports named/unnamed dense/sparse vectors.
qdrant-markdown-indexer
Simple pipeline to index markdown files into Qdrant using OpenAI embeddings
qdrant-genkit
No description provided for this repository.
mcp-for-docs
MCP server for accessing documentation and code snippets of dev tools. Based on `mcp-server-qdrant`
haloperidol
Antipsychotic therapy for qdrant cluster
demo-midlibrary-explorer-nextjs
Exploration of Midjourney Library styles using Qdrant and NextJS
demo-hnm
No description provided for this repository.
py-rust-stemmers
No description provided for this repository.
contexto
A simple script to solve contexto.me using word embeddings
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.
api-reference
Repository for Qdrant's API Reference Documentation
mri
A simple tool to monitor process resource usage as frequent as possible
qdrant-fluvio
Stream records from Fluvio topics to a Qdrant collection.
rust-parser
Extracts semantics from rust code
relevance-feedback
No description provided for this repository.
autocomplete-openapi
Autocomplete queries using OpenAPI spec
qdrant-cloud-grafana-dashboard
No description provided for this repository.
kubernetes-api
API definitions for the Qdrant Kubernetes operator
terraform-provider-qdrant-cloud
A Terraform plugin that allows to manage and configure Qdrant Cloud resources
dspy-qdrant
Qdrant powered retriever module for DSPy
demo-distributed-deployment-docker
An example of setting up the distributed deployment of Qdrant with docker-compose
benchmark-cohere-wiki-50m
Scripts for benchmarking Qdrant with Cohere Wiki dataset
crasher
Crashing the party
template-hybrid-search-fasthtml
A template for a FastHTML app implementing hybrid search with Qdrant
hybrid-cloud-examples
No description provided for this repository.
sparse-vectors-benchmark
This is a benchmarking tool for Qdrant's sparse vector implementation
rivet-plugin-qdrant
No description provided for this repository.
mini-coil-demo
Web demo for miniCOIL model
coach
Coach running drills to train qdrant deployments
go-commons
Common helper packages to use across Go based Qdrant projects.
qdrant-cloud-support-tools
Tools to help Qdrant Cloud users troubleshoot issues and help Qdrant Support Engineers diagnose problems
webinar-openai-agents-mcp
No description provided for this repository.
rust-stemmers
A rust implementation of some popular snowball stemming algorithms
localstack-qdrant
LocalStack Extension for developing Qdrant-based applications locally.
fluxcd-helm-controller
The GitOps Toolkit Helm reconciler, for declarative Helming
demo-qdrant-fiftyone
An example of integrating Qdrant with FiftyOne
qdrant-cloud-buf-plugins
Collection of Buf plugins used by Qdrant Cloud APIs
tonic
A native gRPC client & server implementation with async/await support.
homebrew-tap
Qdrant's Homebrew Tap
twelvelabs-nvidia-vss
NVIDIA Metropolis VSS + Twelve Labs integration for video understanding
webinar-elastic-qdrant-ecommerce
No description provided for this repository.
prometheus-monitoring
Simple example of monitoring Qdrant cluster with Prometheus and Grafana
ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
.github
No description provided for this repository.
core-dev-challenge
This repository contains a challenge task for Core Rust Engineer position
kubernetes-oomkill-exporter
Exporter parses kernel log for oomkilled pods
protobuf-es
Protocol Buffers for ECMAScript. The only JavaScript Protobuf library that is fully-compliant with Protobuf conformance tests.
kv-search
No description provided for this repository.
tar-rs
Tar file reading/writing for Rust
create-collection-form
Sophisticated form to create qdrant collections simple
hyper
An HTTP library for Rust
murmur3
A rust implementation of murmur3
Frequently asked questions
What does qdrant build on GitHub?
Qdrant builds several projects on GitHub, including qdrant, a high-performance vector database, and fastembed, a lightweight Python library for state-of-the-art embedding. Their repositories emphasize vector search technology and machine learning applications.
Which programming languages does qdrant use?
Qdrant primarily uses Python, Rust, TypeScript, Go, Jupyter Notebook, and JavaScript for their projects. This diverse language use reflects their comprehensive approach to developing advanced search and AI technologies.
Are qdrant's repositories public?
Yes, all of Qdrant's repositories are public on GitHub. This transparency allows the community to access and contribute to their projects, fostering collaboration in the field of vector search technology.
Is this exposure intended?
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