2. RAG
S - RAG Problem is Task: Seach entire books/Large external data Coping text from books and paste in gpt, exceeding the context size Chain is Indexing/Embedding path Document loaders Test splitters Embedding models Vector stores: Pinecone, FAISS, or Azure Cognitive Search Retriving/Retrieval path Embedding Compare Search to select Convert to text LLM Domain is RAG T - Dify A - Knowledge is RAG Index Retrieve T - Keyword search 字面匹配 T - Vector search 关键词搜索,严格的字面匹配,只能识别发明人 向量搜索,嵌入+语义搜索,识别近义词,能识别创造者 3 Steps ...