We are seeking experienced developers to build a robust AI-Powered Knowledge Assistant platform designed for businesses. This platform will enable users to upload various document types, including PDFs, Word files, and internal manuals. The system will automatically process, index, and store this content using advanced vector embeddings, allowing users to query the information in natural language and receive accurate, context-aware answers.
Key features required for the platform include:
* Secure user authentication and comprehensive role-based access control to ensure data privacy and integrity.
* Intuitive document upload and management functionalities.
* An AI-powered chat interface leveraging Large Language Models (LLMs) for natural language interaction.
* Sophisticated semantic search capabilities combined with Retrieval-Augmented Generation (RAG) for precise answer retrieval.
* Maintenance of conversation history and the ability to save important responses.
* A dedicated admin dashboard for efficient user and document management.
* A fully responsive web interface, ensuring optimal user experience across desktop and mobile devices.
* Cloud deployment with integrated monitoring and analytics for performance tracking and scalability.
The ideal candidate or team will have strong expertise in the following technologies:
* Frontend: React/
Next.js, TypeScript
* Backend: Python (with frameworks like Langchain)
* ai/ml: openai api, vector databases
* database: postgresql
* infrastructure: docker, kubernetes, aws
we are looking for a solution that is scalable, secure, and provides a seamless user experience, significantly enhancing knowledge accessibility for businesses.
Delivery term: Not specified