Supavec

Supavec is an open-source platform for building robust Retrieval-Augmented Generation (RAG) applications that connect large language models to your proprietary or public data. It is designed to help teams ingest, index, and query information from diverse data sources so that AI systems can generate accurate, context-aware responses. The primary purpose of Supavec is to provide a scalable, transparent alternative to closed-source RAG solutions such as Carbon.ai, with full control over data, infrastructure, and customization options.

Supavec supports ingestion from a wide range of data sources, including databases, file systems, cloud storage, APIs, and documentation repositories, allowing you to unify structured and unstructured content into a single retrieval layer. It offers configurable pipelines for chunking, embedding, and indexing documents, along with support for leading vector databases and search backends. Developers can define custom retrieval strategies, ranking logic, and prompt templates to optimize quality and latency for their specific use case. Being open source, Supavec can be self-hosted, audited, extended with plugins, and integrated into existing MLOps or data engineering workflows.