You will get Build AI Chatbot for Documents using RAG, LLM and FastAPI


Project details
I will build a custom AI chatbot that can answer questions from your documents using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
This solution allows businesses to chat with PDFs, documents, and knowledge bases to quickly retrieve accurate information. The system retrieves relevant document content using semantic search and generates intelligent responses using LLMs.
This type of AI assistant is perfect for companies that want to automate customer support, internal knowledge systems, or document search workflows.
This solution allows businesses to chat with PDFs, documents, and knowledge bases to quickly retrieve accurate information. The system retrieves relevant document content using semantic search and generates intelligent responses using LLMs.
This type of AI assistant is perfect for companies that want to automate customer support, internal knowledge systems, or document search workflows.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language Understanding, Neural Machine TranslationAI Development Language
PythonAI Tools
GitHub Copilot, Hugging Face, PyTorchAI Models
ChatGPT, GPT-3, GPT-4What's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 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 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10About Gaurav
GenAI Engineer | RAG Chatbots | LLM Apps | Python Backend | FastAPI
Nashik, India - 5:05 pm local time
I help businesses build intelligent systems that can understand and answer questions from documents, websites, and knowledge bases.
I have hands-on experience designing end-to-end LLM pipelines including document ingestion, intelligent chunking, embedding generation, semantic search, and prompt orchestration.
I have developed production-ready AI applications such as multi-document RAG chatbots, AI knowledge assistants, and scalable backend APIs using Python frameworks like FastAPI and Flask.
My expertise includes:
• Building AI chatbots for documents (PDF, knowledge base, websites)
• RAG pipeline development using embeddings and vector search
• LLM integrations and AI automation
• REST API development and backend architecture
• PostgreSQL and scalable backend systems
Tech Stack:
Python, FastAPI, Flask, Django, LLM APIs, RAG, FAISS, PostgreSQL, REST APIs, Next.js.
If you're looking to build AI-powered products, chatbots, or intelligent data systems, I would be happy to help.
Steps for completing your project
After purchasing the project, send requirements so Gaurav can start the project.
Delivery time starts when Gaurav receives requirements from you.
Gaurav works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Requirements
Discuss project requirements, documents, and the use case of the AI chatbot.
Document Processing & Embeddings
Process documents, perform intelligent chunking, and generate embeddings for semantic search.
