Supavec is an open-source Retrieval-Augmented Generation (RAG) platform designed to empower developers in building AI applications that seamlessly integrate with any data source at scale. By transforming documents such as PDFs, call transcripts, and knowledge-base articles into searchable vector embeddings, Supavec enables precise context delivery to Large Language Models (LLMs) through a straightforward REST API. This approach ensures that AI systems can provide accurate, context-aware responses based on proprietary data, enhancing the relevance and reliability of AI-driven applications. Key Features and Functionality: - Open-Source Architecture: Supavec offers full transparency and control, allowing developers to choose between cloud deployment or self-hosting under the MIT license. - Enterprise-Grade Privacy and Security: Built with Supabase Row Level Security (RLS), Supavec ensures granular access control, safeguarding sensitive data within the user's infrastructure. - Scalable Infrastructure: Engineered to handle millions of documents, Supavec supports concurrent processing and horizontal scaling, leveraging robust technologies like Supabase, Next.js, and TypeScript. - Developer-Friendly API: Supavec provides a simple REST API, comprehensive documentation, and quick setup processes, facilitating seamless integration into existing workflows. Primary Value and User Solutions: Supavec addresses the challenge of integrating proprietary data into AI applications by offering a secure, scalable, and transparent RAG infrastructure. It enables organizations to build intelligent systems such as customer support bots, internal knowledge bases, and document analysis tools that deliver accurate, context-aware responses. By maintaining full control over their data and infrastructure, users can ensure data privacy, comply with regulatory requirements, and avoid vendor lock-in, all while leveraging the power of AI to enhance operational efficiency and decision-making processes.