u/Confident_Analysis89
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1points
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2points
I care about recall per GB more than the smallest vector index (self.Rag) [Discussion]
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1points
I would separate code generation from live database permissions rather than trust one agent role (self.AgentsOfAI) [Discussion]
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3points
I worry about embedding model drift more than another service in my RAG stack (self.Rag) [Discussion]
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1points
I would separate a paused agent task from its memory instead of restoring everything (self.agenticAI) [Discussion]
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1points
I want location filters inside retrieval rather than throwing away the best matches (self.Rag) [Discussion]
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1points
I can change the retrieval interface, but that will not avoid the relevance decision (self.AI_Agents) [Discussion]
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1points
I want official docs ranked higher, but missing candidates are a different problem (self.Rag) [Discussion]
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1points
Why I Keep Child Vectors Nested Instead of Using One Row per Vector (self.AI_Agents) [Tutorial]
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3points
I thought copying lake data was the cost. Keeping two retrieval truths was the problem (self.Rag) [Discussion]
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1points
I gave my coding agent more context, but retrieval discipline mattered more than the window (self.AI_Agents) [Discussion]
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2points
I kept treating RAG as a serving problem, but the feedback loop was the real bottleneck (self.Rag) [Discussion]
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1points
Shared agent state matters more than separate compute to me (self.AI_Agents) [Discussion]
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4points
The more copies my RAG index creates, the less I trust the answer (self.Rag) [Discussion]
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2points
Should RAG indexes remain application assets or become shared data assets (self.Rag) [Discussion]
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7points
Fast Retrieval, Slow Sync: Is There a Better RAG Architecture? (self.Rag) [Discussion]
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4points
The higher the similarity score, the less I trust the answer (self.Rag) [Discussion]
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6points
I think small RAG stacks add new datastores too early (self.Rag) [Discussion]
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25points
Spent 3 weeks blaming our LLM for bad RAG results. It was the vector index. (self.Rag) [Discussion]
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7points
I don't think one confirmation dialog is enough for a database agent (self.AI_Agents) [Discussion]
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7points
I'm starting to think stale context is a bigger RAG risk than weak retrieval (self.Rag) [Discussion]
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1points
Migration benchmarks can hide the actual RAG bottleneck (self.Rag) [Discussion]
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2points
Should an agent query the data lake directly or use a serving copy (self.AI_Agents) [Discussion]
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0points
Better semantic search will not fix an agent that never verifies context (self.AI_Agents) [Discussion]
The very first one is always the hardest, but this looks good man.