All-in-one infrastructure for search, recommendations, RAG, and analytics offered via API

Rust client for Qdrant vector search engine

To implement LLM as a services.

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.

Rust App on Qdrant - Vector database

Rust in Action: embed your images into Qdrant and search similar objects using Rust and AI

A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.

A minimalistic demo on semantic search based on Rust ecosystem (pipeline)

🚀 Qdrant Rust Fastembed 🚀

Rightmove Semantic Search

Pipeline to insert text embeddings generated from self hosted embedding model into qdrant vector database using grpc in rust