- How to Build a Local RAG Using DeepSeek-R1, LangChain, and Ollama
https://blog.gopenai.com/how-to-build-a-privacy-first-rag-using-deepseek-r1-langchain-and-ollama-c5133a8514dd
https://blog.gopenai.com/retrieval-augmented-generation-rag-585aa903d6bd
When the follow-up questions will be stopped and the plan is recommended
When such questions will be asked?
- How your chatbot is different from other chatbots?
Yes, it's possible! Your chatbot can have a hybrid approach, combining rule-based interactions with AI-driven intelligence to make conversations more interactive and personalized. Here’s how you can achieve it:
1. Hybrid Approach: Rule-Based + AI
- Rule-Based Questions: Ensure structured data collection (e.g., asking key life insurance questions).
- AI-Driven Layer: Enhances interactivity by understanding user inputs dynamically, making recommendations, and adapting responses.
2. AI Capabilities for Better User Engagement
✅ Infraction-Based Adjustments (Handling Unexpected Inputs)
- AI detects invalid or unexpected responses and intelligently redirects the conversation.
- Example: If a user skips a question, AI suggests relevant alternatives or explains why the question matters.
✅ User Behavior Analysis (Learning & Adapting)
- Tracks past interactions, financial preferences, and product choices.
- Uses this data to personalize future recommendations.
✅ Contextual Follow-Ups (Smart Conversations)