VD elementVD element
Enhancing User Experience and Efficiency with a Multilingual AI Chat Application

Enhancing User Experience and Efficiency with a Multilingual AI Chat Application

Technology

A client required an intelligent, multilingual chat application with document handling, email integration, and Optical Character Recognition (OCR). The implemented solution used Retrieval-Augmented Generation (RAG) for document-based responses, multilingual support, and enhanced security. The result was faster document retrieval, improved communication efficiency, and compliance with stringent data protection standards.

VD elementVD element

Client Overview

VD pattern
VD pattern

The client operates in a data-driven environment and sought to enhance user communication and document handling using Generative AI. The goal was to develop a chat application that could support multiple languages, enable secure document uploads, and integrate seamless email communication.

01

The Challenges

Multilingual Support: Ensuring seamless communication in regional Indian and international languages.

Document Upload & Management: Secure handling of various file formats without errors.

Document-Based Responses: Generating accurate answers with citations from uploaded documents.

Email Integration: Enabling direct email interactions from the chat interface.

OCR Functionality: Extracting and processing text from uploaded images and documents.

VD pattern

02

The Solutions

Document Management System:

Supports PDFs, DOCX, XLSX, JPG, PNG formats, Secure AWS S3 storage with encryption and automatic filename corrections & Tech Stack: AWS S3, Lambda, API Gateway.

Multilingual Chat & RAG-Based Responses:

Real-time multilingual chat generating document-based responses with citations & Tech Stack: Amazon Bedrock (RAG Model), Flutter, OpenSearch.

Email Integration:

Clickable email links embedded in chat for instant email composition, Pre-filled subject and body for streamlined email responses & Tech Stack: Amazon Pinpoint, SES, Flutter.

OCR Functionality:

Text extraction from images and documents with download capability & Tech Stack: AWS Rekognition, Textract, Lambda.

Security & Access Control:

Role-Based Access Control (RBAC) for sensitive documents, End-to-end encryption for secure communications & Tech Stack: AWS IAM, DynamoDB.

VD pattern

03

The Results

30% Faster Document Retrieval through RAG-based responses.

20% Increase in Email Response Efficiency with embedded email integration.

80% Accuracy in Multilingual Responses & OCR Processing.

100% Security Compliance through encryption and role-based access.

VD pattern

05

The Impact

VD pattern

Frequently Asked
Questions?

VD pattern
VD element