You will get Develop a Bilingual RAG Chatbot with OCR and Intelligent Memory
Project details
Are you looking to automate user support, unlock hidden insights from institutional documents, or eliminate manual data lookups? I will build a production-grade, highly efficient Retrieval-Augmented Generation (RAG) chatbot system tailored to your business specifications.
What sets this project apart:
• Intelligent RAG Pipeline: Leverages semantic vector search to parse your custom knowledge base, ensuring highly context-aware responses while completely minimizing AI hallucinations.
• Integrated OCR Engine: Native processing capabilities for scanned PDFs, image documents, or complex structured tables.
• Real-Time SSE Streaming: Built with Server-Sent Events to deliver chunk-by-chunk dynamic text rendering directly to the UI for a seamless user experience.
• Native Bilingual Architecture: Flawlessly processes and transitions between inputs/outputs in both English and Bengali.
• Contextual Memory: Tracks conversation flow effortlessly across multi-turn follow-up questions.
• Production-Ready Architecture: Built using the reliable MERN stack (MongoDB/Supabase pgvector, Express, React, Node.js) and delivered fully containerized via Docker for instant local or cloud deployment.
What sets this project apart:
• Intelligent RAG Pipeline: Leverages semantic vector search to parse your custom knowledge base, ensuring highly context-aware responses while completely minimizing AI hallucinations.
• Integrated OCR Engine: Native processing capabilities for scanned PDFs, image documents, or complex structured tables.
• Real-Time SSE Streaming: Built with Server-Sent Events to deliver chunk-by-chunk dynamic text rendering directly to the UI for a seamless user experience.
• Native Bilingual Architecture: Flawlessly processes and transitions between inputs/outputs in both English and Bengali.
• Contextual Memory: Tracks conversation flow effortlessly across multi-turn follow-up questions.
• Production-Ready Architecture: Built using the reliable MERN stack (MongoDB/Supabase pgvector, Express, React, Node.js) and delivered fully containerized via Docker for instant local or cloud deployment.
Programming Languages
HTML & CSS, JavaScript, TypeScriptWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 3 | 5 | 7 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
Frequently asked questions
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KM
Kate M.
Jun 12, 2026
Convert designed HTML report to print-ready PDF (page numbers, TOC, section breaks)
Shoukat did a great job. I'd tried to get this done previously without success and he solve the problem quickly and painlessly.
About Shoukat
Frontend Developer | React.js & Next.js Expert | Building Scalable Web
Dhaka, Bangladesh - 8:47 pm local time
Why work with me?
- Intelligent AI Solutions: Expert at integrating context-aware RAG pipelines, building vector indices, integrating OCR, and implementing real-time streaming responses (SSE).
- Clean & Containerized Code: Dedicated to writing clean, modular code structured for seamless environment provisioning via Docker.
- Performance Focused: Optimized frontend rendering paired with scalable, highly secure backend architectures to give your business an edge.
My Technical Expertise:
- Frontend Architecture: HTML5, CSS3, JavaScript (ES6+), React.js, Next.js, Tailwind CSS, Responsive Web Design, and Figma-to-Code conversion.
- Backend & AI Engineering: Node.js, Express.js, RAG Pipelines, Server-Sent Events (SSE) streaming, and OCR integration.
- Databases & Dev Tools: Supabase (PostgreSQL with pgvector), MongoDB, Firebase, Git/GitHub, and Docker Containerization.
My Workflow:
1. Discovery: I start by deeply understanding your technical goals, data sources, and system requirements.
2. Architecture & Design: I establish solid database foundations and seamless, componentized layouts.
3. Optimization & Delivery: I perform comprehensive system checking, deploy fully containerized applications, and guarantee deterministic functionality.
I am ready to help you take your business architecture to the next level. Let's discuss your project send me a message today!
Steps for completing your project
After purchasing the project, send requirements so Shoukat can start the project.
Delivery time starts when Shoukat receives requirements from you.
Shoukat works on your project following the steps below.
Revisions may occur after the delivery date.
Data Ingestion, OCR Setup & Vectorization
I will extract text from your provided PDF or image files using OCR, chunk the data efficiently, generate high-quality vector embeddings, and store them securely inside the Supabase database.
RAG Pipeline Integration & LLM Connection Click + Add a step
I will set up semantic search logic, optimize context retrieval to reduce hallucinations, link the system to the LLM (like DeepSeek/OpenAI), and implement custom bilingual processing filters.