You will get a RAG based chabot
Project details
Our chatbot project stands out with its dual-functionality, combining a general chatbot and a Retrieval-Augmented Generation (RAG) chatbot. The general chatbot uses advanced NLP models (like GPT-3/4) for natural conversations and generic queries. The RAG chatbot retrieves specific documents from a knowledge base to provide accurate, detailed responses for fact-based questions. This hybrid system dynamically selects the appropriate chatbot based on user queries, ensuring versatile, contextually accurate, and engaging interactions.
Programming Languages
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$15
|
Advanced
$20
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 0 | 0 | 0 |
Number of Pages | 2 | 2 | 2 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
About Manideep Reddy
Data scientist, Machine Learning Engineer, Gen AI developer
Peddapalli, India - 11:37 pm local time
-- Knows Python, AI model development and Gen AI enthusiast
Steps for completing your project
After purchasing the project, send requirements so Manideep Reddy can start the project.
Delivery time starts when Manideep Reddy receives requirements from you.
Manideep Reddy works on your project following the steps below.
Revisions may occur after the delivery date.
Project is already completed to an extent and needs some finishing touches