note

[Sendai-based, Fully Air-Gapped] No Heavy Vector DBs or LangChain Required! Complete Implementation of a "Super-Fast, Self-Built Local RAG Search Engine" Running Only on ...

Hello, I'm Aoi. I usually work from my room-cum-office in Sendai, handling personal development and the design and operation of local AI systems. Suddenly, have you ever fallen into this "RAG ...
HowToGeek on MSN

5 essential Linux terminal upgrades that make command-line work actually enjoyable

Modern tools can make the Linux terminal prettier, faster, and smarter.

For those who have built RAG once: The new book 'Vector Databases' is easier to understand as a 'second book'

When you start learning about RAG, you encounter the term "vector database" quite early on.Create embeddings. Search for ...
HackerNoon

101 Real-World Examples of How to Use Jev

Jev, TypeSafe AI's System One model — routers, guardrails, browser agents, SQL extensions — and what each one replaced.
marktechpost

AI Agents

Together AI has released Together Link, a free, MIT-licensed CLI that connects Claude Code, Codex, OpenCode, Pi, and the Claude and ChatGPT desktop apps to open models like Kimi K3 and GLM 5.3. One ...
GitHub

data-synchronization

BitSail is a distributed high-performance data integration engine which supports batch, streaming and incremental scenarios. BitSail is widely used to synchronize hundreds of trillions of data every ...
GitHub

machine-learning-engineering

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, ...
blog.csdn

SQLAlchemy ORM高效指南：Python数据库操作进阶

3.3 查询机制：Query与filter SQLAlchemy的查询表达式设计得相当直观， filter 方法接收的是Python表达式，而不是字符串，天然避免了注入风险。 下面列几个高频写法，尤其是那些容易绕不过弯的： ...
blog.csdn

使用 LLM 命令行工具进行文本嵌入：从 CLI 命令到 Python API 的完整指南

LLM 通过插件机制支持多种嵌入模型（参见 插件体系 ）。安装插件后，嵌入模型即可在命令行或 Python API 中使用，用来计算并存储内容的嵌入向量，然后对这批向量执行相似度搜索。 LLM 项目将这一整套能力拆分为四个相互衔接的层面，也正是本文的四个主体章节： ...