conversational-ai-design
CommunityDesign and implement conversational AI with Rasa NLU, dialogue management, and LangChain memory.
Authorils15
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps solve the challenge of designing and implementing complex conversational AI systems, streamlining the process of building AI chatbots that can engage with users effectively.
Core Features & Use Cases
- Rasa NLU Pipeline Configuration: Offers a comprehensive configuration for NLU pipelines with support for various NLU components.
- Dialogue Management Policies: Provides options for Rule-based and ML-based dialogue management, with memoization capabilities.
- LLM Chatbot Patterns: Incorporates LangChain memory patterns for conversational memory and RetrievalQA for RAG-based chatbots.
- Use Case: Build a conversational AI chatbot capable of handling multi-turn conversations and structured data extraction, enhancing customer service and user experience.
Quick Start
Design a conversational AI chatbot by using the provided Rasa NLU pipeline configuration and integrate LangChain for conversational memory.
Dependency Matrix
Required Modules
rasalangchainpython
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: conversational-ai-design Download link: https://github.com/ils15/pantheon/archive/main.zip#conversational-ai-design Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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