# Vector Database Interview Guide and Technical Analysis This article is an interview experience sharing and technical analysis of vector databases. It systematically explains the core concepts, technical principles, selection recommendations, and application scenarios of vector databases. ## 1. C…
# Function Calling Technical Summary ## 1. Definition Function Calling is a mechanism that allows developers to describe available external tools (such as APIs) to a large language model (LLM) via JSON schema. When the model determines that a tool is needed to answer the user's question, it outp…
# AI Interview Question 2: How to Ensure Reliable Tool Calling by Large Language Models (LLMs) How to ensure that large language models (LLMs) work reliably and controllably when calling tools, rather than relying solely on prompts to "convince" the model. A systematic multi-level constraint fram…
# Summary: Differences Between Agent Tool Calling and Ordinary Function Calling This article mainly discusses the core differences between Agent tool calling and ordinary function calling. It also elaborates in detail on the mechanism, value, common failure modes, and corresponding mitigation strat…