Redis Cloud powers LangChain OpenGPTs project
OpenGPTs is a low-code, open-source framework for building custom AI agents. Because of Redis’ speed and reliability, LangChain chose Redis Cloud…
OpenGPTs is a low-code, open-source framework for building custom AI agents. Because of Redis’ speed and reliability, LangChain chose Redis Cloud…
Learn how Docugami uses Generative AI and Redis to transform documents into actionable insights.
Learn why AWS Bedrock chose to partner with Redis Cloud as the real-time vector database to store external knowledge bases
The recent launch of LangChain Templates introduces a transformative approach for developers to create and deploy generative AI APIs.
Redis Cloud provides a highly responsive, scalable vector database and index that powers Superlinked’s management of the process to represent…
With Redis, you can build advanced use cases thanks to the support of the vector data type. This course introduces you to semantic search and explains its advantages over the traditional full-text search.
Redis Vector Library simplifies the developer experience by providing a streamlined client that enhances Generative AI (GenAI) application development. Redis Enterprise serves as a real-time vector database for vector search, LLM caching, and chat history.
In this article, we will combine VectorFlow with Redis to construct a vector embedding pipeline. Redis will function as our vector database, while VectorFlow will handle the remaining tasks.