面试题库

全部 Django Elasticsearch FastAPI Flask Function Call JVM Java IO Java 后端 Java 基础 Java 并发 Java 新特性 Java 集合 JavaWeb Kafka LLM LangChain LangGraph MongoDB MyBatis MySQL Netty Nginx Python RAG RabbitMQ Redis RocketMQ Spring Spring AI SpringBoot SpringCloud SpringMVC ZooKeeper 分布式 后端技术 大厂面经 大数据 微服务 提示词工程 操作系统 数据库 数据结构 智能体 海康威视2026秋季社招专项 消息队列 监控运维 算法 系统设计 缓存 计算机基础 计算机网络 设计模式 面试题 高可用 高并发
RAG 中等

What are the potential consequences of having chunks that are too large versus chunks that are too small?

RAG 中等

How do you choose the chunk size for a RAG system?

RAG 中等

How does hybrid search work in the context of RAG retrieval?

RAG 中等

Compare keyword-based retrieval and semantic retrieval in RAG systems

RAG 中等

Explain why cosine similarity is preferred over other distance metrics in RAG retrieval

RAG 中等

A RAG system has high context precision but low faithfulness. How would you address this?

RAG 中等

Distinguish between Faithfulness and Context Precision metrics in RAG evaluation. Why might a system have high Context Precision but low Faithfulness, and what would this indicate about your pipeline?

RAG 中等

How does the Faithfulness metric assess the quality of a RAG generator?

RAG 中等

To minimize RAG system latency, which pre-retrieval enhancement technique will you choose?

RAG 中等

Compare HyPE and HyDE techniques in RAG

RAG 中等

Explain how the HyPE technique works in RAG

RAG 中等

What are the typical distance metrics used for similarity search in vector databases, and why are they chosen?