Discuss AI and architecture; a ten-year veteran of major tech companies now transitioning to AI and continuing the journey.
This article explains Hermes Kanban's multi‑agent orchestration features, core concepts, and a step‑by‑step case study that builds a public‑account matrix management system, demonstrating task decomposition, parallel execution, dependency handling, human intervention, and best‑practice guidelines.
This article systematically reviews the nine‑stage RAG pipeline—from data cleaning and text chunking through embedding, vector indexing, retrieval, reranking, and finally prompt assembly—highlighting core concepts, practical code snippets, common pitfalls, and optimization tips for building production‑grade systems.
This article compares five popular vector databases—Chroma, Milvus, Weaviate, Qdrant, and FAISS—detailing their positions, strengths, weaknesses, suitable scenarios, a selection‑dimension matrix, common pitfalls, code implementations for a unified RAG pipeline, best‑practice recommendations, and thought questions to guide engineers in choosing and migrating vector stores.
This tutorial walks through configuring an enterprise WeChat robot, linking it to Hermes' message gateway, building a skill that runs CPU and memory checks, scheduling periodic inspections, and automatically sending the results to the WeChat robot for hands‑free server performance monitoring.
The article explains why traditional keyword search often fails when user questions differ from knowledge‑base wording, introduces semantic search that matches queries and documents via vector similarity, details query understanding and rewriting techniques, lists common pitfalls, provides a full Python implementation, and shares best‑practice recommendations.
This tutorial walks through installing Hermes with a single curl command that checks Python 3.11+, installs Node v23+, sets up a virtual environment, configures channels like WeChat, QQ and Feishu, and then adds the open‑source Hermes Web UI via npm for full model configuration and chat capabilities.
This comprehensive guide walks you through installing Hermes Agent, configuring over 20 model providers, setting up the Skill system, enabling MCP client/server modes, and connecting the agent to 17 messaging platforms, while also covering execution back‑ends, security settings, and troubleshooting tips.
The article explains why brute‑force vector search is painfully slow, introduces Flat, IVF, and HNSW index structures, compares their speed, memory and accuracy, shows common pitfalls, provides production‑grade Python code, and presents benchmark results that demonstrate HNSW’s superior speed‑accuracy trade‑off.
This article walks through why traditional keyword matching fails for RAG, explains the evolution from one‑hot encoding to Word2Vec and BERT, details sentence‑level embeddings and similarity metrics, compares leading Chinese and multilingual embedding models using the C‑MTEB benchmark, and provides practical LangChain code, deployment tips, and common pitfalls.
This article explains why proper text chunking is critical for Retrieval‑Augmented Generation, illustrates common pitfalls with real‑world examples, compares four chunking strategies (fixed length, recursive, structure‑aware, and code‑aware), and provides practical guidelines for chunk size, overlap, metadata handling, and a production‑ready pipeline.
