EvaDB is an innovative query engine designed to integrate AI capabilities directly into SQL and vector database systems, allowing developers to create scalable AI-powered applications with simple SQL queries. It facilitates querying data using pre-trained AI models from platforms like Hugging Face, OpenAI, YOLO, and PyTorch, among others. This integration aims to save time and reduce costs associated with AI applications through AI-centric query optimization and execution.
EvaDB is particularly beneficial for software developers without a deep background in AI, enabling them to perform advanced AI tasks such as regression, classification, image recognition, and question answering by incorporating AI functions directly into their SQL queries. The tool targets a wide range of repetitive AI problems that can be automated, providing a comprehensive open-source framework for embedding AI within existing SQL databases.
The platform supports various data sources including PostgreSQL, SQLite, MySQL, and several vector databases like Faiss, ChromaDB, and Pinecone. Additionally, it offers extensive documentation and community support to help users get started and contribute to the project. EvaDB's goal is to make AI accessible and manageable for developers, streamlining the process of adding AI features to CRUD applications.
Pricing
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