Closed 0xsarwagya closed 4 days ago
π @0xsarwagya π
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Completed :)
π @0xsarwagya π
Thanks for closing the issue! We appreciate your updates.
Project Suggestion Title
RAG With NextJS, Langchain, and Ollama
Description
This project aims to integrate Retrieval-Augmented Generation (RAG) capabilities into a Next.js application using Langchain and Ollama. By combining these technologies, we can create a robust, scalable, and interactive system capable of retrieving relevant data from external sources and generating responses using advanced language models. This can be utilized in a variety of use cases, such as a highly intelligent chatbot, dynamic FAQs, or an automated customer support system that adapts based on user queries.
Benefits
This project would benefit the community by providing a powerful, customizable, and efficient solution for building conversational AI applications with integrated data retrieval. It offers flexibility in scaling knowledge-driven responses by leveraging both the latest advancements in language models and efficient API handling in Next.js. This could be an ideal solution for teams looking to build conversational agents, customer support tools, or knowledge bases for their products.
It would also help Rebackk by enhancing user engagement through a more dynamic, responsive AI assistant or help desk tool.
Implementation Ideas
Additional Context
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.
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Suggested Contributors