VectorFlow is an open-source engine designed for developers and data engineers who need to convert documents into vector embeddings for use in AI and machine learning pipelines. It handles the data preparation stage required for semantic search, retrieval-augmented generation (RAG), and other vector-based applications.

Batch Processing: Efficiently processes large volumes of documents in parallel, scaling to meet production data loads. Multiple File Formats: Accepts a variety of document types including PDFs, Word documents, and plain text files for flexible data ingestion. Open-Source and Self-Hosted: Provides full control over your embedding pipeline, allowing for customization and deployment within your own infrastructure. Simple API: Offers a straightforward REST API for easy integration into existing data workflows and applications. Embedding Provider Agnostic: Works with various embedding models, giving you the freedom to choose the one that best fits your project's requirements and cost considerations.