#ragengineering search results
Vector DBs aren't dead; fast-forward to 2025, and yeah, the "grift" vibe faded as everyone from Postgres (pgvector 0.7's HNSW) to Supabase bolted on vectors like it was an afterthought. Who's stacking what for agentic memory in 2025 #VectorDB #RAGEngineering
Stop using single vector search! Now RAG creates multiple data representations (like topo/transport maps) and lets agents pick the best one. It’s “semantic pointillism” for search. #RAGEngineering #SemanticSearch #MultiRepresentation
🚨 RAG Engineers, brace yourselves: More data ≠ Better results Dumping docs into your RAG system doesn't make it smarter. It can actually decrease accuracy. Yeah, you read that right. More data doesn't always mean better performance. #RAGEngineering #AIAccuracy
Common beginner mistake: Thinking the LLM is the product. It’s not. It’s just one part of the orchestrated system. The edge? → Custom pipelines → Tuned embeddings → Efficient storage + retrieval #ragengineering #AIinfra2025
Vector DBs aren't dead; fast-forward to 2025, and yeah, the "grift" vibe faded as everyone from Postgres (pgvector 0.7's HNSW) to Supabase bolted on vectors like it was an afterthought. Who's stacking what for agentic memory in 2025 #VectorDB #RAGEngineering
Stop using single vector search! Now RAG creates multiple data representations (like topo/transport maps) and lets agents pick the best one. It’s “semantic pointillism” for search. #RAGEngineering #SemanticSearch #MultiRepresentation
Common beginner mistake: Thinking the LLM is the product. It’s not. It’s just one part of the orchestrated system. The edge? → Custom pipelines → Tuned embeddings → Efficient storage + retrieval #ragengineering #AIinfra2025
🚨 RAG Engineers, brace yourselves: More data ≠ Better results Dumping docs into your RAG system doesn't make it smarter. It can actually decrease accuracy. Yeah, you read that right. More data doesn't always mean better performance. #RAGEngineering #AIAccuracy
Vector DBs aren't dead; fast-forward to 2025, and yeah, the "grift" vibe faded as everyone from Postgres (pgvector 0.7's HNSW) to Supabase bolted on vectors like it was an afterthought. Who's stacking what for agentic memory in 2025 #VectorDB #RAGEngineering
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