The Challenge
- 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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