Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › Artificial Intelligence › Generative AI
Retrieval-Augmented Generation
concept · part of Generative AI
Grounding model answers in retrieved documents to improve accuracy and freshness.
Inside Retrieval-Augmented Generation (2)
- Vector similarity search — The typical mechanism for retrieval in RAG, using embedding-based search rather than keyword lookup.
- RAG pipeline — A generative AI workflow that retrieves external data at query time to augment model responses.
Connections
- Related to Data governance
- Related to AWS Glue Data Quality
- Related to Scalability
- Related to Security
- Related to Data freshness
- Related to Cross-team collaboration
- Builds on Prompt Engineering
- Prerequisite of Custom Models & Fine-tuning
- Uses Knowledge Bases
- Alternative to Amazon Neptune ML
- Used for Chatbots
- Uses Vector similarity search
- Uses Cortex Search
- Alternative to Cortex Fine-Tuning
- Uses SNOWFLAKE.CORTEX.COMPLETE
- Related to Cortex Search
- Related to Knowledge Bases
- Related to RAG pipeline
- Related to Vector similarity search
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