Freaks City

LangChain is a framework designed to streamline the development of applications powered by large language models (LLMs). It enables developers to compose modular, reusable components that handle prompting, model interaction, data retrieval, memory, and orchestration. Core Capabilities Context Integration: Seamlessly inject external information ...

This article continues exploring the Spring AI ecosystem by extending the HunYuan model support to include embedding vector capabilities. After establishing chat functionality in the previous implementation, we now add vector embedding support to enable semantic search and similarity matching features. API Interface Integration Tencent's HunYua ...

Overview Large Language Models face several critical challenges in enterprise settings: Research costs: Running a 13B+ model requires 24GB+ VRAM for full quantization, making experimentation expensive Training overhead: Knowledge updates require complete retraining cycles Hallucination: Models generate plausible but incorrect responses when la ...

System Architecture Three-Layer Collaboration Model 1. RAG Execution Unit (Sequential Collaboration) Query Rewriting → Multi-path Retrieval → Answer Generation Executes a complete RAG workflow independently 2. Checker Agent (Cyclic Collaboration) Multi-dimensional scoring (relevance, accuracy, completeness, timeliness) Provides improvement sug ...