📝 Quick Summary:

HelixDB is a graph-vector database built in Rust, designed for RAG and AI applications. It combines graph relationships with vector embeddings, providing a powerful solution for knowledge representation and retrieval. HelixDB utilizes LMDB for reliable storage and offers ACID compliance, ensuring data integrity.

🔑 Key Takeaways

✅ Blazing-fast performance, outperforming many existing graph databases.
✅ Intuitive design and easy-to-use CLI for rapid development.
✅ Native support for graph and vector data, ideal for RAG and AI applications.
✅ Robust and reliable storage powered by LMDB, ensuring data integrity.
✅ Well-documented SDKs in TypeScript and Python for seamless integration.

📊 Project Statistics

⭐ Stars: 2279
🍴 Forks: 104
❗ Open Issues: 36

🛠 Tech Stack

✅ Rust

Hey fellow developers! Ever wished for a database that's not only blazing fast but also a breeze to use, especially when dealing with the complexities of AI and large language models? Then you absolutely HAVE to check out HelixDB! This open-source project is a game-changer for anyone working with graph and vector data, particularly in the realm of Retrieval Augmented Generation (RAG). Forget wrestling with clunky, slow databases – HelixDB is built for speed and efficiency. It uses Rust, a language known for its performance and safety, and leverages LMDB for rock-solid storage. This combination delivers a database that's not only lightning-fast but also incredibly reliable. What makes HelixDB truly stand out is its intuitive design. The developers have prioritized developer experience, making it incredibly easy to get started and build powerful applications. The query language is clean and readable, and there are well-documented SDKs for TypeScript and Python, simplifying integration into your existing projects. Imagine effortlessly storing and querying relationships between nodes, vectors, or a mix of both – HelixDB handles it all with grace. Need to build a sophisticated RAG system? HelixDB's native support for graph and vector data types makes this a walk in the park. No more messy workarounds or complicated integrations. This isn't just about speed, though. HelixDB is designed with reliability at its core. It's ACID compliant, ensuring data integrity and consistency, something crucial for any serious application. The performance gains are astonishing. Benchmarks show HelixDB is up to 1000x faster than Neo4j and 100x faster than TigerGraph for certain tasks, making it a serious contender for high-performance applications. It is also on par with Qdrant for vector search. But the best part? The Helix CLI makes getting started incredibly easy. A few simple commands and you're up and running, building and deploying your queries with ease. Whether you're building a cutting-edge AI application, a knowledge graph, or anything that needs fast, reliable graph-vector database, HelixDB is a tool you need to explore. It's not just faster and more reliable, it's also designed with developers in mind, making it a truly enjoyable experience.

📚 Learn More

View the Project on GitHub

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HelixDB: The Blazing-Fast Graph-Vector Database You Need to Check Out!