GenAI Processors provides a library of reusable, configurable processors to build end-to-end generative AI workflows. Developers can ingest documents, break them into semantic chunks, generate embeddings, store and query vectors, apply retrieval strategies, and dynamically construct prompts for large language model calls. Its plug-and-play design allows easy extension of custom processing steps, seamless integration with Google Cloud services or external vector stores, and orchestration of complex RAG pipelines for tasks such as question answering, summarization, and knowledge retrieval.

This tool allows users to store a vector representation of their browsing history, utilizing OpenAI's embedding model for analysis. It is particularly useful for research purposes, assisting users in understanding patterns and trends in their web activity. By transforming traditional browsing history into a more analyzable format, users can leverage this data for various analytical tasks and gain insights into their browsing habits.

Substrate is a versatile platform designed for developing AI workflows by connecting various modular components or nodes. It offers an intuitive Software Development Kit (SDK) that encompasses essential AI functionalities, including language models, image generation, and integrated vector storage. This platform caters to diverse sectors, empowering users to construct complex AI systems with ease and efficiency. By streamlining the development process, Substrate allows individuals and organizations to focus on innovation and customization, transforming ideas into effective solutions.