Multimodal RAG を実装ã—ã¦ã¿ã‚‹æ˜¨æ—¥ã®è¨˜äº‹ã®ç¶šã。 Multimodal RAG ã®ã‚¢ãƒ—ãƒãƒ¼ãƒã®ã†ã¡ã€ãƒžãƒ«ãƒãƒ¢ãƒ¼ãƒ€ãƒ«åŸ‹ã‚è¾¼ã¿ã‚’用ã„ã‚‹ã‚‚ã®ï¼ˆMulti-Vector Retriever for RAG on tables, text, and images ã®Option 1）ã®å…·ä½“çš„ãªå®Ÿè£…を考ãˆã¦ã¿ã‚‹ã€‚ å‰æ：éžãƒžãƒ«ãƒãƒ¢ãƒ¼ãƒ€ãƒ«RAG 通常ã®RAG ã§ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã‚’æ ¼ç´ã™ã‚‹å ´åˆã€ä»¥ä¸‹ã®ã‚ˆã†ãªã‚³ãƒ¼ãƒ‰ã‚’用ã„ã‚‹ã®ãŒä¸€èˆ¬çš„ã ã¨æ€ã†ã€‚ #ドã‚ュメントを分割ã—ã¦ãƒãƒ£ãƒ³ã‚¯ã«ã™ã‚‹ text_splitter = RecursiveCharacterTextSplitter(chunks_size=300, chunk_overlap=30) chunks = text_splitter.split_documents(document) #ベクトルインデックスを作æˆï¼ˆGoogle Vertex AI） vector_store = Vec
Introduction to GPT-4o and GPT-4o mini | OpenAI Cookbook
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