Unverified50% confidenceFactExact time
The Embedding model appears twice in the RAG pipeline: during offline knowledge base construction and during online retrieval, with the goal in both cases being to map text into the same vector space.
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9/25/2026
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UnverifiedIn the offline phase of the traditional RAG process, documents are chunked and converted into vectors via an embedding model and stored in a vector database; in the online phase, similar document chunks are retrieved using an Approximate Nearest Neighbor (ANN) algorithm.71% similarUnverifiedHarness应对上下文拥挤的做法是通过RAG等技术把进度、文件结构、日志结构化存在外部，让模型读取而非回忆71% similarUnverified工程界普遍采用RAG架构：将历史信息切分成语义块，通过嵌入模型转化为向量存入向量数据库（如Faiss、Pinecone、Weaviate），用户提问时计算余弦相似度检索最相关片段70% similarUnverifiedModern RAG systems widely adopt vector retrieval technology, converting text into high-dimensional vectors via embedding models and computing cosine similarity to find relevant documents.69% similar
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