SwarnDB: The Vector Database That Thinks in Graphs

SwarnDB is a fast vector database built with Rust that combines traditional search methods with a smart graph layer. Most vector databases only find the closest matches to a query. SwarnDB goes further by automatically figuring out how those matches relate to each other and showing those connections as a map. This allows users to explore relationships between data points without needing a separate graph database.

Benefits

• Unified Search and Graph:SwarnDB handles finding similar items and exploring their connections in one system. You do not need to switch between a search engine and a graph tool.
• Built-in Math Tools:The system includes over 15 math functions for working with vectors. These include finding the center of a group of items, reducing data dimensions, and solving logic puzzles with numbers.
• High Speed and Memory Efficiency:It uses advanced indexing techniques to handle billions of data points while keeping memory usage low. It also uses special hardware instructions to speed up calculations on modern computers.
• Fast Recovery:If the system crashes or stops working, it can restart quickly and recover data without losing information. It keeps a log of changes to ensure nothing is lost.
• Flexible Configuration:Users can adjust settings like search depth and connection limits through simple environment variables. This lets teams tune the system for their specific needs.

Use Cases

• Smart Recommendation Systems:Companies can use SwarnDB to suggest products or content by finding similar items and showing how they are connected to what a user already likes.
• Knowledge Graphs:Researchers can build a database where facts are linked together. The system can automatically find related concepts and display them as a network.
• Data Analysis:Analysts can use the built-in math tools to cluster data, find patterns, or reduce the complexity of large datasets for easier understanding.
• Search with Context:Applications can search for information and then show related results based on the connections found in the graph layer. This helps users discover more relevant content.
• Scalable Storage:Teams managing massive amounts of data can store and query vectors efficiently without running out of memory or slowing down their servers.

Pricing (ONLY include if available)

Pricing details for SwarnDB are not available in the provided information. The project is open source and available on GitHub.

Vibes (ONLY include if available)

Public reviews or testimonials were not found in the provided text. The project is maintained by SarthiAI and is available for developers to use and contribute to.

Additional Information (ONLY include if available)

• Developer:The project is designed and maintained by SarthiAI.
• Technology:It is written in Rust, which is known for being fast and safe.
• API:SwarnDB offers two ways to connect: a gRPC interface for high-speed communication and a REST interface for standard web requests.
• Deployment:It can be easily run using Docker containers. It supports macOS, Windows, and Linux systems.
• License:The software is released under the MIT License, which allows free use and modification.
• Performance:Benchmarks show it can handle thousands of search requests per second with very fast response times on large datasets.
• Features:It supports batch processing, pre-filtering for metadata, and dynamic tuning of search parameters for better accuracy.