Industry
On DemandServices
ChatbotTechnologies We Use
Python
GPT-40(FINE-TUNED)
Langchain
NLTK & Spacy
RAG Architecture
Introduction
How do you create an AI-powered platform.
Invocom is an AI-powered chatbot and Customer Relationship Management System (CRMS) designed to deliver efficient customer support in real-time. Leveraging advanced AI, Natural Language Processing (NLP), and GenAI technologies, Invocom utilizes Retrieval-Augmented Generation (RAG) architecture to ensure accurate, context-relevant responses.
Key Features
Real-time responses to customer inquiries.
Automated support for routine queries.
Seamless integration with websites and dynamic content (e.g., PDFs).
A scalable solution for high-traffic environments.
Workflows For Invocom
Key Challenges And Solutions
Handling Dynamic and Diverse Content
Challenge
Integrating unstructured data like PDFs and web pages into a responsive system.
Solution
RAG architecture retrieves content efficiently, ensuring responses are relevant to user queries.
Ensuring Response Accuracy
Challenge
Delivering precise answers from large datasets.
Solution
Fine-tuning GPT-4o and leveraging external tools like Langchain for improved context understanding.
Real-Time Document Retrieval
Challenge
Maintaining performance and scalability during high query volumes.
Solution
Optimized backend infrastructure with efficient indexing and caching.
Future Enhancements
Advanced Features
- Enable communication through various channels (social media, email, live chat).
Analytics and Reporting
- Include dashboards for monitoring chatbot performance, response times, and customer satisfaction.
- Identify common queries to optimize FAQs and automate workflows.
Security and Compliance
- Ensure encryption and secure APIs to protect user data.
- Adhere to GDPR or other relevant data privacy laws.
Integration Capabilities
- API support for custom integrations with third-party CRMs like Salesforce or Zendesk.
- Seamless workflow automation with tools like Slack or Microsoft Teams.
AI Training and Fine-Tuning
- implement reinforcement learning to improve chatbot responses based on user feedback.
- Regularly update proprietary datasets to ensure relevance and accuracy.
Results
Improved Efficiency
Automates repetitive tasks, allowing support teams to focus on complex issues.
Increased Accuracy
RAG ensures responses are grounded in trusted, up-to-date sources.
Enhanced User Experience
Traders leveraged precise forecasts to minimize risk and maximize returns.React’s smooth interface allows users to access information quickly and effortlessly.
Scalability
Handles increasing traffic without performance drops.
Improved Efficiency
Automates repetitive tasks, allowing support teams to focus on complex issues.
Increased Accuracy
RAG ensures responses are grounded in trusted, up-to-date sources.
Enhanced User Experience
Traders leveraged precise forecasts to minimize risk and maximize returns.React’s smooth interface allows users to access information quickly and effortlessly.
Scalability
Handles increasing traffic without performance drops.
Conclusion
Invocom showcases how AI can revolutionize customer service with real-time, reliable support. Combining RAG, GPT-4o, and advanced NLP tools, the platform is scalable, accurate, and user-friendly. It’s a prime example of AI’s potential to solve real-world challenges, offering businesses a powerful tool to streamline their support processes.
