A cloud-native vector database, storage for next generation AI applications

🧬 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 ♾️ Vivid toolkit for air-gapped LLMs on consumer-grade hardware

A completely private, locally-operated, highly customizable Ai Companion/Assistant/Agent with realistic Long Term Memory and task-specific modules using Llama 2 with the Oobabooga API, GPT 3.5 Turbo 16k, or GPT 4. Qdrant or Pinecone can be used for the DB.

Rust client for Qdrant vector search engine

Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models

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!

Ruby wrapper for the Qdrant vector search database API

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

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.

Elixir client for Qdrant vector search engine

Javascript client library for the Qdrant vector search engine

QDrant-NLP

Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients

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

微信公众号对接chatgpt实现聊天机器人。

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

AI chatbot for the DeFiChain ecosystem.