HelixDB is a powerful, open-source, graph-vector database built in Rust for intelligent data storage for RAG and AI.
Rust client for Qdrant vector search engine
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.
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
Dynamic Agent is a Rust-based framework for building Retrieval-Augmented Generation (RAG) AI agents with multi-LLM and multi-vector store support, featuring WebSocket communication, caching, and flexible configuration.
A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.
Unified Rust interface (VectorStore trait) for multiple vector databases, featuring auto-schema generation and easy integration for RAG systems.
LLM documents spliting with AI agent that wrap chunks within document's context and store into a vector DB with simple chat
Codename: Symbiont - Building an evolving AI with a Rust-based microservice stack.
Pipeline to insert text embeddings generated from self hosted embedding model into qdrant vector database using grpc in rust
Add a description, image, and links to the qdrant topic page so that developers can more easily learn about it.
To associate your repository with the qdrant topic, visit your repo's landing page and select "manage topics."