You will get RAG Chatbot for Knowledge Bases — Get Instant Answers, Backed by Citations
Project details
Your team's knowledge is scattered across PDFs, wikis, databases, and cloud storage—forcing employees to waste time searching, support teams to answer the same questions repeatedly, and AI assistants to produce inconsistent or fabricated responses.
I build production-grade RAG chatbots using LangChain, LangGraph, CrewAI, OpenAI GPT models, and PGVector, ChromaDB, or Qdrant to deliver fast, accurate, citation-backed answers from your internal knowledge. Every pipeline is designed to minimize hallucinations through optimized chunking, hybrid retrieval, cross-encoder re-ranking, and continuous evaluation.
Starter delivers a production-ready RAG foundation with document ingestion, optimized chunking, embeddings, and semantic retrieval.
Standard adds Qdrant, retrieval heuristics, semantic re-ranking, response caching, and OpenTelemetry or Opik observability with automated evaluations.
Advanced includes everything in Standard plus CrewAI multi-agent workflows, LLM-as-a-Judge, automated regression testing, and 24x7 online retraining pipeline for continuous improvement.
One production-ready pipeline—from ingestion to evaluation. Faster search. Accurate answers. Continuous improvement.
I build production-grade RAG chatbots using LangChain, LangGraph, CrewAI, OpenAI GPT models, and PGVector, ChromaDB, or Qdrant to deliver fast, accurate, citation-backed answers from your internal knowledge. Every pipeline is designed to minimize hallucinations through optimized chunking, hybrid retrieval, cross-encoder re-ranking, and continuous evaluation.
Starter delivers a production-ready RAG foundation with document ingestion, optimized chunking, embeddings, and semantic retrieval.
Standard adds Qdrant, retrieval heuristics, semantic re-ranking, response caching, and OpenTelemetry or Opik observability with automated evaluations.
Advanced includes everything in Standard plus CrewAI multi-agent workflows, LLM-as-a-Judge, automated regression testing, and 24x7 online retraining pipeline for continuous improvement.
One production-ready pipeline—from ingestion to evaluation. Faster search. Accurate answers. Continuous improvement.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, StreamlitAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$300
|
Standard
$800
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
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 | - |
Frequently asked questions
About Mohammad
Agentic AI Developer| Chatbots RAG LLM Automation | Built for Business
Raipur, India - 5:05 am local time
✅ 3+ years of hands-on experience in Generative AI & Machine Learning.
✅ Successfully delivered 11+ AI solutions across multiple domains.
✅ International Generative AI R&D experience at GenTA (South Korea).
✅ End-to-end AI solutions — from development to optimization & deployment.
Your AI demo impressed everyone—but production is where things started falling apart.
❌Costs became unpredictable.
❌Workflows broke.
❌Responses became inconsistent.
❌Scaling exposed problems you never saw during development.
The challenge isn't building another AI model. It's building an AI system your business can actually depend on.
I work with companies in AI software, SaaS, enterprise AI, automation, and knowledge management to build AI systems that automate repetitive work, retrieve information instantly, and eliminate the manual tasks slowing your team down—transforming complex AI challenges into efficient, cost-effective, production-ready systems.
I am a Generative AI & AI/ML Engineer with 3+ years of experience, international R&D experience at GenTA, South Korea, and a proven track record of delivering 11+ AI projects. I partner with businesses to deliver end-to-end AI solutions—from concept and architecture to deployment and long-term support.
Problems I can help you with:
AI Agents & Automation:
• AI Agents • Multi-Agent Systems • Voice Agents • Workflow Automation • Business Process Automation • API Integrations • Real-Time AI Systems • Task Orchestration
LLM & RAG Engineering
• RAG Pipelines • Knowledge Management • Semantic Search • Hybrid Retrieval • Vector Search • Embeddings • Reranking • LLM Evaluation • Prompt Optimization • Production AI Deployment
Generative AI:
• Custom LLM Applications • Fine-Tuning • Prompt Engineering • RAG Systems • AI Chatbots • AI Assistants • Diffusion Models • Stable Diffusion • ControlNet • Image Generation • Image Upscaling • Style Transfer • Computer Vision • Model Optimization
AI / ML Development:
• End-to-End ML Development (Data → Deployment) • Data Preprocessing • Feature Engineering • Model Training • Hyperparameter Optimization • Model Evaluation • Classification • Regression • Clustering • Reinforcement Learning • Deep Learning (CNN, RNN, LSTM, GRU)
Agents & Automation:
Voice Agents: LiveKit | VAPI | Retell | Newo | Agora | n8n.
🛠️ Tech Stack:
LLM Orchestration: LangChain | LlamaIndex | LangGraph | CrewAI
Vector DBs: Pinecone | Weaviate | Qdrant | ChromaDB
LLMs/APIs: OpenAI | Anthropic Claude | Gemini | Llama | Mistral
Backend/Deployment: FastAPI | Docker | AWS | GCP
Automation: n8n | Zapier | Make
Databases: PostgreSQL | MongoDB | Redis
Have an AI idea but unsure where to start? Let's discuss your workflow first—I can help turn it into a production-ready AI solution without unnecessary complexity.
Steps for completing your project
After purchasing the project, send requirements so Mohammad can start the project.
Delivery time starts when Mohammad receives requirements from you.
Mohammad works on your project following the steps below.
Revisions may occur after the delivery date.
Deep-Dive Discovery — We Align on Your Dream Outcome
Before I touch anything, we get crystal clear on what success looks like for YOU — not just deliverables, but the real result you want. This removes confusion, saves time, and makes sure every action points at your goal from day 1.
Custom Roadmap Built Around Your Specific Goals!
You get a clear, step-by-step plan tailored to your situation — no copy-paste templates. You'll know exactly what's happening, when, and why. Zero surprises. You approve everything before anything moves forward.