The article details a five‑layer architecture for a sustainable local knowledge vault—Inbox, Raw Sources, Extracted Text, Distilled, and Archive—explaining each layer’s purpose, the import workflow from tools like Evernote, and the supporting Python scripts that automate ingestion, extraction, and governance.
This article explains how the ZTO Tech team overcame the hallucination problem of generic AI code generators by integrating a local knowledge base, structured prompts, and an MCP service, enabling the model to understand and follow internal frameworks, component libraries, API standards, and security rules, dramatically improving code compliance and developer productivity.
This guide walks you through a completely code‑free, step‑by‑step process to download Coco AI 0.7.0, configure the server and client, set up a local connector, link Ollama models, and verify both simple and deep‑thinking AI modes for document retrieval and intelligent Q&A.
This guide walks through setting up a local personal knowledge base using Ollama, DeepSeek‑R1, and AnythingLLM, and demonstrates how to integrate the Continue AI code assistant into VSCode, covering installation, configuration, and usage tips for efficient, secure development.
This article provides a comprehensive tutorial on setting up the LangChain‑Chatchat open‑source project, covering environment preparation, model and embedding downloads, configuration files, database initialization, API service launch, and example curl commands for interacting with both the large language model and the local knowledge base.
