qdrant

🧬 Represent, send, and store multimodal data · Neural Search · Vector Search · Document Store

The no-code platform for building custom LLM Agents

Python client for Qdrant vector search engine

CASALIOY ♾️ The best toolkit for air-gapped LLMs on consumer-grade hardware

Rust client for Qdrant vector search engine

Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!

This tool provides a fast and efficient way to convert text into vector embeddings and store them in the Qdrant search engine. Built with Rust, this tool is designed to handle large datasets and deliver lightning-fast search results.

Ruby wrapper for the Qdrant vector search database API

Javascript client library for the Qdrant vector search engine

QDrant-NLP

Elixir client for Qdrant vector search engine

Birds 400-Species Image Classification using Pytorch Metric Learning (Triplet Margin Loss)

Visual similarity search engine demo with use of PyTorch Metric Learning and Qdrant

Vector Based Image recognition API using Tensorflow for feature extraction and Qdrant as a vector similarity search engine.

Build async FastAPI backends to query various NoSQL databases

FlutterGPT - AI chatbot powered by OpenAI API, Qdrant, LangChain and AWS Lambda

Experimentation for fine-tuning LLMs for the use of a DeFiChain specific chatbot.

An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing

Legal Documents Multilingual Semantic Search

Search PDF files in 100+ languages using Qdrant and Cohere.