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RAG Quality Starts with Data Quality // Adam Kamor // #262
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2024/9/20
MLOps.community
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Adam's preferred coffee?
Key takeaways from the episode
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The story behind naming a product
Introducing Tonic Textual
Managing PII and Data Safety
Chunking strategies for context
Data prep for RAG
Data quality in AI systems
Data integrity in PDFs
Ensuring chatbot data freshness
Managed PostgreSQL and Vector DB
RBAC database vs file access
Slack AI data leakage solutions
Hot swapping in AI systems
LLM security concerns
Privacy management best practices
Chatbot design patterns
RAG growth and impact
Retrieval Evaluation best practices
Wrap up
Shownotes
Transcript
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