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AI RAG Python
Smart Crisis Counselor
Intelligent RAG-based system for crisis counseling. Uses LLMs to provide context-aware response suggestions and knowledge retrieval for sensitive scenarios.
AI-powered crisis response
Developed a RAG-based system that helps crisis counselors respond effectively with context-aware suggestions and knowledge retrieval.
AI/ML developer Python LLM integration
Highlights
- Retrieval Augmented Generation for accurate responses
- Vector database for crisis response knowledge base
- Context-aware prompt engineering
- Safety guardrails for sensitive content
Outcomes
RAG
Architecture
Built-in
Safety
Prototype
Status
Code Walkthrough
1. Knowledge retrieval Retrieval: Semantic
Retrieves relevant crisis response protocols based on the situation context.
context = vector_db.similarity_search(query)
response = llm.generate(
prompt=format_prompt(query, context),
guardrails=crisis_safety_rules
)View on GitHub
Explore the codebase and documentation.
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