You will get AI Chatbot & RAG Pipeline Development – LLM & ML System for Your Business.
Project details
You'll get a fully working machine learning system,AI chatbot or RAG system, not just a demo. I specialize in Retrieval-Augmented Generation (RAG), hybrid search (BM25 + dense embeddings), and LLM fine-tuning using PyTorch and Hugging Face. I recently built a QA chatbot for an e-commerce Facebook Messenger page that resolved ~85% of customer queries automatically, and a Nepali-language RAG system that's live and deployed via Docker on Hugging Face Spaces. I care about delivering systems that actually run in production — clean code, proper deployment, and documentation so your team can maintain it after handover. I'll also be honest with you if a simpler solution fits your budget better than a complex AI system.
What's included
| Service Tiers |
Starter
$60
|
Standard
$170
|
Advanced
$360
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 2 | 3 | 4 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - |
About Sandip
Airtificial Intelligence and Machine Learning
Kathmandu, Nepal - 10:07 pm local time
Steps for completing your project
After purchasing the project, send requirements so Sandip can start the project.
Delivery time starts when Sandip receives requirements from you.
Sandip works on your project following the steps below.
Revisions may occur after the delivery date.
Data Sources For the system.
Please share your FAQs/documents (PDF, Word, or text file) that the system should be trained on.
Use case / goal
Briefly describe what you want the chatbot or system to do — e.g., answer customer FAQs, search internal documents, or provide product recommendations.