You will get AI Customer Support Chatbot using RAG
Project details
Want to unlock knowledge hidden inside company PDFs, legal docs, or support manuals? I will build a lightning-fast, AI-powered Custom Chatbot using Retrieval-Augmented Generation (RAG) to turn static documents into conversational AI.
By combining Groq's ultra-fast LLM inference with LangChain and FAISS vector databases, your users get context-aware, highly accurate responses within milliseconds.
What This Project Offers:
• Advanced RAG Pipeline: Smart semantic search that understands intent.
• Multi-PDF Support: Upload multiple large documents effortlessly.
• Sub-Second Latency: Powered by Groq API for near-instant replies.
• Conversational Memory: Retains context throughout the entire chat session.
• Sleek Web UI: A modern, responsive dashboard built entirely in Streamlit.
• Secure Data Ingestion: Secure text chunking and FAISS local vector storage.
Why Work With Me?
As an AI and Data Science specialist, I focus on production-ready automation workflows. I don't just write code; I design scalable, high-performance architectures.
Let's transform your documentation into your most efficient virtual team member. Message me to get started!
By combining Groq's ultra-fast LLM inference with LangChain and FAISS vector databases, your users get context-aware, highly accurate responses within milliseconds.
What This Project Offers:
• Advanced RAG Pipeline: Smart semantic search that understands intent.
• Multi-PDF Support: Upload multiple large documents effortlessly.
• Sub-Second Latency: Powered by Groq API for near-instant replies.
• Conversational Memory: Retains context throughout the entire chat session.
• Sleek Web UI: A modern, responsive dashboard built entirely in Streamlit.
• Secure Data Ingestion: Secure text chunking and FAISS local vector storage.
Why Work With Me?
As an AI and Data Science specialist, I focus on production-ready automation workflows. I don't just write code; I design scalable, high-performance architectures.
Let's transform your documentation into your most efficient virtual team member. Message me to get started!
Purpose
BusinessIndustry
Business Services & Consulting, Cybersecurity, Data Analytics, Ecommerce, Education, Financial Services, Legal, Marketing & Advertising, Medical & Pharmaceutical, Retail & Wholesale, Software, TelecommunicationsLanguage
EnglishWhat's included
| Service Tiers |
Starter
$50
|
Standard
$175
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Hours of Work | 5 | 12 | 25 |
Scriptwriting | - | ||
Summary Report | - | ||
Social Media Replies | - | - | - |
Email Support | |||
Live Chat Support |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $100
Additional Hour of Work
+$25Frequently asked questions
About Ali
AI Automation Developer | RAG, WhatsApp Bots & n8n Workflows
Karachi, Pakistan - 7:52 am local time
Recently built and deployed a production AI Customer Support Agent (Next.js + FastAPI + Supabase pgvector + Groq LLaMA) that answers customer queries from a business's own documents — live on both a website widget and WhatsApp, from a single backend. [Live demo: customer-support-agent-blue.vercel.app]
I focus on systems that actually work in production — not just tutorial-level demos. Comfortable debugging retrieval accuracy, vector indexing, and multi-channel deployment.
Open to: AI chatbots, RAG systems, WhatsApp automation, n8n workflows, and custom AI agent development.
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Data Analysis & Chunking
Reviewing the client's PDF files, cleaning text, and planning optimal chunk sizes for LangChain processing.
Vector DB & RAG Integration
Generating text embeddings, setting up the FAISS vector database, and connecting it with Groq LLM.