You will get Conversational AI with RAG Using PDF
Project details
This Conversational AI system leverages OpenAI's GPT models integrated with Retrieval-Augmented Generation (RAG) to provide precise and context-aware answers. It processes user queries by retrieving relevant information from PDF documents and combining it with the model's language generation capabilities. This approach is ideal for customer support, knowledge base search, and document-intensive workflows.
AI Algorithms
Transformer ModelAI Applications
AI Chatbot, Conversational AIAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
BERT, ChatGPTWhat's included
| Service Tiers |
Starter
$100
|
Standard
$150
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 29 days |
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 |
About Sujit
Data Scientist | Python | machine learning | deep learning
Bengaluru, India - 9:31 pm local time
End-to-end data science solutions from data extraction to model deployment.
Automating repetitive tasks through data pipelines and AI-based workflows.
Steps for completing your project
After purchasing the project, send requirements so Sujit can start the project.
Delivery time starts when Sujit receives requirements from you.
Sujit works on your project following the steps below.
Revisions may occur after the delivery date.
Project Checklist
- Will receive PDF from clients - Make RAG - Connect the RAG with the model