vectorflow
Explore an open-source pipeline designed for efficient vector embedding, offering robust fault tolerance and seamless data processing. Easily handle substantial volumes of raw data, storing results in your preferred vector database. Perfect for local deployment with Kubernetes, it supports various file formats like TXT, PDF, HTML, and DOCX. Enhance your implementation with Docker-Compose or a Python client. Benefit from community support on Discord, and try out a free hosted version for hassle-free experience. Ideal for those looking to streamline data processing with advanced embedding capabilities.
