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

Rust client for Qdrant vector search engine

To implement LLM as a services.

Rust AI agent where every context token earns its place. Self-learning skills, temporal graph memory, cascade quality routing, OWASP AI security. Hybrid inference: Ollama · Claude · Gemini · OpenAI · GGUF. MCP + ACP. One binary.

db2vec: High-performance Rust CLI to parse database dumps (.sql, .surql), generate vector embeddings via Ollama, TEI, Gemini, and load into vector databases (Pinecone, Redis, Chroma, Milvus, Qdrant, SurrealDB). Optimized for speed on large datasets.

High-performance vector database & RAG memory layer - hybrid search, embeddings, RAPTOR trees, BM25 fusion for AI systems.

Rust App on Qdrant - Vector database

Project-scoped Qdrant MCP server for workspace collections with scratchbook functionality. Python port of claude-qdrant-mcp with FastEmbed and project-aware collection management.

🚁 AI-Powered FPV Drone Assistant - Telegram bot with RAG, Vision, and Blackbox Analysis

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.

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.

Local code indexer with MCP-based semantic search. Parses Git repos with tree-sitter, embeds via Ollama, stores in Qdrant, and exposes search as MCP tools for Claude Code, Cursor, and other LLM dev tools.

OpenAI-compatible LLM gateway that reduces API costs using Redis exact cache and Qdrant semantic cache.

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

🚀 Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.

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.

High-performance infrastructure libraries built in Rust, with seamless bindings for Python, Node.js, and WebAssembly.

🚀 Qdrant Rust Fastembed 🚀

Rust MCP server for Qdrant with local embeddings (Candle/ONNX)

A fast, local text embedding service using FastEmbed and ONNX Runtime