Artículo: AMZ-B0FNVHD57L

Multimodal RAG in Action: A Developer’s Guide to Building Reliable AI Agents with Text, Image, and Knowledge Graph Retrieval

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0.20 kg
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Amazon

Sobre este producto
  • Combine state-of-the-art embedding models, like CLIP, MiniLM, and Node2Vec, for seamless cross-modal search
  • Assemble fast, scalable pipelines with LangChain, LlamaIndex, Pinecone, Chroma, and FAISS
  • Engineer hybrid retrievers and fusion logic to surface the right evidence every time
  • Craft prompts that guarantee every answer is supported, cited, and ready for audit
  • Troubleshoot, evaluate, and refine your agents with industry benchmarks and best practices
  • Handle the realities of scaling: latency, cost, versioning, and data privacy
  • Apply practical patterns for compliance, monitoring, and agentic workflows

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