Unlocking Data With Generative Ai And Rag Pdf «SAFE • HOW-TO»

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Start with recursive character text splitter (LangChain). For technical PDFs, use semantic chunking. 3.3 Embedding Models | Model | Dim | Best for | |-------|-----|-----------| | text-embedding-3-small (OpenAI) | 1536 | General, cost-effective | | all-MiniLM-L6-v2 (sentence-transformers) | 384 | Local, fast, lower accuracy | | BAAI/bge-large-en-v1.5 | 1024 | High retrieval quality | | voyage-2 | 1024 | Long documents, legal/financial PDFs | unlocking data with generative ai and rag pdf

Unlocking Siloed Data: A Practical Framework for Generative AI and RAG-Based PDF Interrogation Question: query Start with recursive character text splitter