EDITHX AI
LANCER
Lancer:
<= 2 resources OR <=3 weeks effort OR <=$3000 USD
Growth:2 - 4 resources AND upto 4 months OR
upto $30000 USD
Enterprise:Everything else
(Development)
Project Description
Edithx, a forward-thinking AI product company, empowers users to extract real-time insights from their documents using conversational intelligence. To achieve this, the client needed a lightweight yet powerful chat interface that could interpret user questions and respond accurately based on uploaded PDFs.
Scope Of Work
The client aimed to build a secure, AI-driven RAG (Retrieval-Augmented Generation) chatbot that enables users to upload documents, ask contextual questions, and manage their interactions with ease. The project focused on combining natural language understanding with intelligent document retrieval to deliver precise, context-aware responses.
Our Solution
To meet the functional and technical expectations of Edithx, the solution was developed using a modern tech stack optimized for performance and simplicity.
Key implementation steps included:
- Virtual Environment & Dependency Setup: Used Python 3.12 with virtualenv for environment isolation and consistent package management.
- Vector Embedding & Knowledge Base: Implemented automatic document parsing and vector embedding generation.
- Backend Deployment: Launched the FastAPI server using uvicorn, with interactive API documentation accessible via /docs.
- Frontend Development: Built with HTML, CSS, and JavaScript, the interface allowed users to upload documents.