LLM

In-depth analysis of Gemini CLI core configuration parameters, covering key modules such as Checkpointing, Model Aliases, Context, and Tools. This article details the differences in parameter support between CLI mode and A2A-Server mode, helping developers accurately configure and optimize AI Agent workflows.

Through reverse engineering, this article provides a deep dive into the internal architecture and working principles of Anthropic’s AI coding assistant, Claude Code. It breaks down the collaborative mechanisms of its Main and Sub-Agents, system prompts, toolset definitions, and context management strategies, helping you to fully understand the autonomous execution flow of this powerful AI tool.

Analyzing open source DeepResearch implementations based on source code, including the engineering architecture, Agent design, prompts, and core processes of solutions such as Dify, LangChain, HuggingFace, and Zilliz Cloud.

A brief overview of the technical features in reasoning capabilities of DeepSeek-R1 and Kimi k1.5: DeepSeek employs GRPO algorithm and model distillation to enhance reasoning performance, while Kimi explores the integration of long-form Chain of Thought with reinforcement learning.

After reviewing LightRAG, I found that its persistence support was still limited, missing the most important TiDB (not really). So I took some time to contribute and write about it.

This article aims to explore the architectural design and specific code implementation of the RAG algorithm through the interpretation of papers and source code. This article mainly discusses GraphRAG, LightRAG and RAPTOR RAG, and also mentions Contextual Retrieval proposed by Anthropic and the evaluation method of the RAG algorithm. In the end, it is recommended that different methods be selected according to the size of the knowledge base document.