Unverified50% confidenceSolutionExact time
The author suggests following each LLM call node immediately with a Cost node, using a unified Code node to write one row of cost record into the database table cost_log after each call.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLLM网关提供请求频次控制、Token消耗统计、缓存命中、日志记录和成本预估等功能65% similarUnverifiedThe complete RAG pipeline includes an offline phase (document parsing → text chunking → Embedding vectorization → writing to a vector database) and an online phase (user query → query vectorization → vector retrieval → recalled document reranking → Prompt construction → LLM response generation).62% similarUnverifiedCombining a structured external database with an LLM is typically achieved through two approaches: encapsulating database queries as Tools for the Agent to call on demand, or preprocessing data into vector embeddings stored in a vector database for RAG semantic retrieval.60% similarUnverifiedBy attaching metadata tags such as team, feature, user, or environment to requests, the total bill can be broken down by dimension to identify cost sources.59% similarUnverifiedIn RAG systems, token count is directly associated with three aspects: embedding cost, storage cost, and inference cost.57% similar
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