You will get AI Chatbot with RAG Knowledge Base | OpenAI, Claude, LangChain
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Top Rated
Project details
Get an AI chatbot that actually knows YOUR business. I build RAG-powered assistants trained on your documents, website, and data, accurate, sourced answers instead of generic AI responses.
Built Sawaal (production RAG with citations, multi-language, streaming) and Writetone (full AI SaaS). I optimize for accuracy, not just demos.
WHAT YOU GET:
→ Chatbot trained on YOUR data (PDFs, docs, website, database)
→ RAG pipeline with vector DB, hallucination-resistant
→ Source citations in every response
→ Embeddable widget or standalone web app
→ Admin panel to manage knowledge base
→ Multi-language support
→ 7 days post-delivery support
KNOWLEDGE SOURCES:
→ PDFs, Word docs, spreadsheets, text files
→ Website (auto-crawled), Notion, Google Drive
→ PostgreSQL, MySQL, Supabase, API endpoints
IDEAL FOR:
→ Customer support - 24/7 accurate answers
→ Internal knowledge base - chat with company docs
→ Legal/compliance - search contracts and policies
→ E-commerce - product recommendations and support
→ Education - AI tutor on course materials
TOOLS: LangChain, LangGraph, OpenAI, Claude, Pinecone, Chroma, Supabase pgvector, FastAPI, Python, React
Built Sawaal (production RAG with citations, multi-language, streaming) and Writetone (full AI SaaS). I optimize for accuracy, not just demos.
WHAT YOU GET:
→ Chatbot trained on YOUR data (PDFs, docs, website, database)
→ RAG pipeline with vector DB, hallucination-resistant
→ Source citations in every response
→ Embeddable widget or standalone web app
→ Admin panel to manage knowledge base
→ Multi-language support
→ 7 days post-delivery support
KNOWLEDGE SOURCES:
→ PDFs, Word docs, spreadsheets, text files
→ Website (auto-crawled), Notion, Google Drive
→ PostgreSQL, MySQL, Supabase, API endpoints
IDEAL FOR:
→ Customer support - 24/7 accurate answers
→ Internal knowledge base - chat with company docs
→ Legal/compliance - search contracts and policies
→ E-commerce - product recommendations and support
→ Education - AI tutor on course materials
TOOLS: LangChain, LangGraph, OpenAI, Claude, Pinecone, Chroma, Supabase pgvector, FastAPI, Python, React
AI Algorithms
Feedforward Neural Network, Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Gradio, Hugging Face, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$250
|
Standard
$600
|
Advanced
$1,400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | ||
Prompt Engineering | |||
Setup File | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
Multi-language support (additional language)
+$200
Additional 100 documents indexed
+$100
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MY
Mesut Y.
Apr 18, 2026
Lead AI Developer for Multi Agent and LLMs
Muhammad Farrukh is very skilled AI Developer, he delivers very quick results which we can verify for our MVP development. Highly recommended Expert!
DJ
David J.
Mar 31, 2026
Open Claw Installation Expert Needed in Dubai
very fast and efficent job
About Muhammad Farrukh
AI Agent & Automation Architect | LangChain CrewAI n8n Vapi | Ex-AWS
100%
Job Success
Dubai, United Arab Emirates - 2:39 am local time
After 15+ years leading cloud architecture at AWS, Bespin Global, and Etisalat, delivering 100+ enterprise solutions, I now build AI-powered systems directly for businesses. I've also founded and shipped my own AI products (Mukh.1, Writetone, BuzzHunt), so I think like a product owner, not just a contractor.
WHAT I BUILD:
→ AI Agents & Multi-Agent Systems
LangChain, LangGraph, CrewAI - autonomous agents that research, decide, and execute on your behalf
→ Voice AI Agents
Vapi, Twilio, ElevenLabs - 24/7 AI phone agents that book appointments, qualify leads, handle support
→ Workflow Automation
n8n, Zapier - connect your tools, kill repetitive tasks, save 20+ hours/week
→ AI Chatbots with RAG
Chatbots trained on YOUR data - accurate answers with source citations, zero hallucination
→ Web Scraping & Data Extraction
Python, Selenium, anti-bot bypass - any website, any scale, clean structured output
→ Cloud & DevOps
AWS, Azure, GCP - production infrastructure that doesn't break at scale
PRODUCTS I'VE SHIPPED (not just client work, I build and run my own)
→ Mukh.1: No-code AI agent orchestrator, 2,500+ integrations, multi-agent workflows
→ Writetone: AI writing SaaS, built, scaled, and maintained a full production platform
→ BuzzHunt: Automated lead generator scanning 6 social platforms in real time
→ Sawaal: RAG search engine with live web retrieval and source citations
→ Voice AI Agent: Real-time barge-in calling system with conversational memory
TOOLS I WORK WITH
LangChain, LangGraph, CrewAI, n8n, Zapier, Vapi, ElevenLabs, Twilio, OpenAI, Claude, Python, Node.js, FastAPI, Supabase, PostgreSQL, Docker, HubSpot, Salesforce, Airtable, Notion, Slack, Stripe, WhatsApp API
I communicate clearly (Loom walkthroughs, documentation, Git), respond within hours, and deliver working systems on time. Message me, let's discuss what you need built.
You can check my Linkedin @fanwaar.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Farrukh can start the project.
Delivery time starts when Muhammad Farrukh receives requirements from you.
Muhammad Farrukh works on your project following the steps below.
Revisions may occur after the delivery date.
Data Assessment
Review your documents, data sources, and knowledge base requirements
RAG Architecture Design
Design the pipeline: embedding model, vector database, retrieval strategy, and LLM selection