Mastering RAG 2.0
RAG systems have evolved from naive vector search to advanced chunking, query enhancement, and now agentic architectures that can self-correct and adapt retrieval strategies dynamically.
This comprehensive 240+ page guide explores practical frameworks for determining which approach fits your use case and how to optimize for production at each stage.
Read our in-depth eBook to learn how to:
Master chunking, embedding, and reranking strategies for your data
Optimize for the production triad: accuracy, latency, and cost
Build evaluation frameworks using retrieval and generation metrics
Navigate vector database tradeoffs across 13+ options
Implement advanced patterns like query decomposition and adaptive retrieval
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