1d β’ General discussion
RAG is simpler than you think (but most people get it wrong)
If you understand these 4 types, everything clicks π
π§ Naive RAG
Retrieve β send to LLM β answer
Good starting point, but accuracy is limited.
π Hybrid RAG
Keyword + semantic search
This is what most real-world systems use.
π Graph RAG
Understands relationships between data.
Useful for complex queries.
π€ Agentic RAG
Plans β retrieves β reasons β iterates
This is where things are heading.
β‘ Key insight:
Better AI β bigger model
Better AI = better retrieval
If you're building anything with LLMs,focus more on retrieval than prompts.
Thatβs the real leverage.
What are you currently using?
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RAG is simpler than you think (but most people get it wrong)
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