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.
🚁 AI-Powered FPV Drone Assistant - Telegram bot with RAG, Vision, and Blackbox Analysis
Apex is the open-source counterpart to my commercial offering, Apex Accelerator. It does not include certain commercial components, such as the license server, binary obfuscation, and cloud-native infrastructure for authentication and persistence.
Rust MCP server for Qdrant with local embeddings (Candle/ONNX)
LLM documents spliting with AI agent that wrap chunks within document's context and store into a vector DB with simple chat
aicli is a Rust-based terminal application that implements a Retrieval-Augmented Generation (RAG) workflow. It scans and chunks text files, generates embeddings, stores and queries vectors in Qdrant, and retrieves relevant context to produce accurate, context-aware responses through an interactive TUI.
A fast, local text embedding service using FastEmbed and ONNX Runtime
A blazing-fast, event-driven RAG pipeline and MCP Server built in Rust. Automatically sync local Markdown notes to Qdrant and make them semantically searchable for AI coding assistants like Cursor and GitHub Copilot.
🚀 Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.
Sovereignty-first personal AI OS. Deterministic routing, four-tier memory, ruflo orchestration, 840+ tests. Hub: nstn.dev
A Rust caching proxy for LLM APIs. Delivers 500x faster responses (4ms vs 2s) and 90% cost reduction via Redis + Qdrant caching. Drop-in compatible with OpenAI SDKs and Groq.
Pipeline to insert text embeddings generated from self hosted embedding model into qdrant vector database using grpc in rust
A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.
RAG platform for educational use at DSV, Stockholm University. Rust/Axum backend, React frontend, Qdrant vector search.
An event-driven, distributed system for semantic text matching, enabling low-latency ingestion, scalable vector processing, and fast ANN-based similarity search.
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