Building Custom ChatGPT ChatBot Trained for your own Content
The Project
InfyOm wanted to build a ChatBot that can be trained for your own private data like PDF, URLs and others where people can do a chat with this data and get instant answers.
Location
India
Industry
Artificial Intelligence
Project Duration
1+ Year of Collaboration
Team Size
5 People
Technologies Used
Python, ReactJS, ChromaDB, LangChain, Laravel, MySQL, TailwindCSS
What Our Client Says?
"With InfyGPT, our clients were able to reduce their support hours by more than 50% and conversation rate was increased by 70%. They were also able to provide support by 24x7."
The Challenge
Training our ownCustom Content
We want to developed a ChatBot which can be trained on our own personal content like your Website or other Intranet files that we have. Then Bot should only answer the question based on our content.
Request Chat withHuman Agent
Sometimes, Bot is not able to answer the complex questions or the questions where Human Agents can perform better. So we need a feature where user can request a Chat with a Human Agent.
Remember Context fromMemory
Bot should be able to keep the conversation going on with remembering the previous message and the context of the current message and should give and appropriate answers based on memory.
Possibility forTeam Inbox
We also need a Team Inbox Feature, where conversation can be spread out with multiple expert agents. so multiple experts can tackle the questions of the user from various departments.
The Solution
Trained ChatBot withVector Database
We added a support where user can add their personal content in various forms like Web Page URL, Sitemap or File uploaded and trained those content with Vector Databases.
LHuman Agent Transfer fromChat Widget
Implemented seamless integration on a Chat Widget where user can request a Human Agent chat and we also notified agents with various integrations like Email Notification or Slack Notifications and others.
Built Context awareConversation
It was very important that user can keep the conversation going without losing the context of old messages. We implemented context aware conversation with help of LangChain memory.
Multi Agent Chat withTeam Inbox
A Team Inbox was designed to tackle a complex problems and question where the help is needed from various agents. So multiple team members can observe the conversation and can jump-in when needed.
Results
Deployed 20+ ChatBots
70% Conversion Rate Increased
10,000+ Support Hours Saved so far
Key Features
Train ChatBot Content
Developed a comprehensive interface where users can easily upload their content easily and train them.
ChatBot Widget Customization
Implemented a solution where ChatBot Widget can be customized to match a persona of the website along with theme colors.
Seamless Website Integration
Implemented standalone script which can be easily integrated on any website and users can start chatting with bot instantly.
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