Building internal AI search/chat cost, accuracy, maintenance? Real benchmarks + migration path?
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Benchmark truth: RAG + HyDE > fine-tune for knowledge tasks (F1 0.91 vs 0.83). Agents shine reasoning chains CrewAI for sales workflows. Hybrid future: RAG → agent handoff. Tools: Weaviate hybrid search + vLLM inference. Deployed 17 apps; agents cut human touch 68%. Start RAG, iterate to agents.
Hey Rohan, RAG wins 80% enterprise: 92% accuracy vs 78% fine-tune, 10x cheaper maint. Agents (LangGraph) for multi-step (approval workflows). Fine-tune only proprietary data <10k examples. Stack: Llama3.2 + Pinecone + Guardrails. Migrated client docs search—95% user sat, $40k saved vs GPT-4 API.