Tag: RAG
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LangChain to LlamaIndex Migration: RAG Refactor in 5 Steps
Migrate your RAG pipeline from LangChain to LlamaIndex in 5 practical steps. Boost retrieval accuracy and simplify your LLM app architecture.
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LangChain vs LlamaIndex: RAG Latency on 10K Documents
LangChain vs LlamaIndex on 10K docs: 3x latency gap, 2x memory difference. Real query benchmarks reveal which RAG framework wins.
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Hybrid Search for RAG: BM25 + Vector Search Combined
Hybrid search boosts RAG recall 35% over vector-only. Combine BM25 + embeddings with rank fusionโPython code, real datasets, ablation results.
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RAG ํ์ดํ๋ผ์ธ ์ต์ ํ ์์ ๊ฐ์ด๋: Naive RAG๋ถํฐ Agentic RAG๊น์ง
Optimize RAG pipelines from naive to agentic: chunking strategies, hybrid search, and reranking code that actually improves retrieval.