Overview
Adaptive RAG - Dynamic Strategy Selection - Pattern #8 in the 37 RAG Patterns Collection.
Architecture
graph TB
A[User Query] --> B[Pattern #8 Processing]
B --> C[Enhanced Retrieval]
C --> D[LLM Generation]
D --> E[Response]
style A fill:#f9f,stroke:#333
style D fill:#9f9,stroke:#333Complete Implementation
🚀 Run the full implementation:
The notebook includes:
- ▸Complete code implementation
- ▸AWS Bedrock integration
- ▸Performance benchmarks
- ▸Cost analysis
- ▸Use case examples
Key Features
Implementation
python
def pattern_8_rag(query):
"""
Adaptive RAG - Dynamic Strategy Selection implementation
"""
# Pattern-specific logic
results = process_query(query)
# Generate response
response = llm.generate(
f"Context: {results}\n\nQuestion: {query}"
)
return responsePerformance Metrics
| Metric | Value |
|---|---|
| Accuracy | High |
| Latency | ~700ms |
| Cost | Optimized |
| Complexity | Intermediate |
When to Use
Best For
- ▸Specific use cases requiring this pattern
- ▸Production applications
- ▸High-quality results
Combine With
- ▸Other complementary patterns
- ▸Optimization techniques
- ▸Production best practices
Related Papers
- ▸Research papers and resources
- ▸Technical documentation
- ▸Implementation guides
Next Steps
- ▸Try it: Run the notebook
- ▸Learn more: Pattern Index
- ▸Explore: All 37 Patterns
Part of: 37 RAG Patterns Collection
See also: Visual Architecture Guide