ShadAI Framework
  1. use-cases
ShadAI Framework
  • Index
  • README
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  • advanced
    • Best Practices
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  • examples
    • Advanced Patterns
    • Custom Agent Examples
    • Market Research Examples
    • Multi-Document Analysis
    • Basic Query Examples
  • api-reference
    • Exceptions Reference
    • Engine Tool API
    • Shadai Client API Reference
    • Query Tool API
    • Summarize Tool API
    • Agent Tool API
    • Web Search Tool API
  • use-cases
    • Knowledge Synthesis
    • Research Assistant
    • Custom Workflows
    • Document Q&A
  • core-concepts
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    • RAG System
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  1. use-cases

Document Q&A

Build intelligent document Q&A systems with Shadai. Perfect for customer support, internal knowledge bases, and documentation search.

Use Case Overview#

Problem: Users need quick, accurate answers from large document collections
Solution: RAG-powered Q&A that searches documents and provides contextual answers
Benefits:
⚡ Instant answers
📚 Search thousands of documents
🎯 Accurate, cited responses
💬 Natural conversation

Basic Implementation#

Simple Q&A System#

Advanced Implementation#

Customer Support Bot#

Multi-Language Support#

Production Patterns#

Pattern 1: Cached Sessions#

Pattern 2: Confidence Scoring#

Pattern 3: Source Attribution#

Integration Examples#

Web API (FastAPI)#

Slack Bot#

Discord Bot#

Best Practices#

Optimize for Speed#

Handle Edge Cases#

Monitor Performance#

Troubleshooting#

Slow Responses#

Problem: Queries take too long
Solutions:
Pre-load documents
Use smaller document collections
Clear conversation history
Disable memory for independent queries

Irrelevant Answers#

Problem: Answers don't match questions
Solutions:
Make questions more specific
Add context to queries
Verify documents are relevant
Check document quality

Memory Issues#

Problem: Bot confuses topics
Solutions:

Next Steps#

Research Assistant - Advanced research workflows
Knowledge Synthesis - Multi-document analysis
Custom Workflows - Build specialized systems
Ready to build? Start with the basic implementation and scale as needed!
Modified at 2025-10-17 17:46:45
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