We are building this for Rebackk to enhance our product’s AI capabilities, specifically in customer interactions and security incident management. The integration of RAG could greatly improve our response accuracy and ensure that users have real-time, data-driven insights at their disposal.
MIT License
Next.js RAG is an open-source project that implements a Retrieval-Augmented Generation (RAG) feature using Next.js, Langchain, and Ollama. This project is designed to help developers integrate RAG capabilities into their Next.js applications, offering real-time, data-driven insights powered by language models.
This project is an extraction of a core feature embedded in Rebackk to enhance AI capabilities in customer interactions and security incident management. While the embedded version remains private, we are excited to offer this open-source version to help others leverage RAG in their own applications.
Made with Contrib.rocks
This project is licensed under the MIT License.