#embeddings

319 related articles

Jul 6, 2026·3 min

Full-Stack AI Development with Vercel: A Complete Guide to AI SDK, RAG, and Production-Ready Applications

Master full-stack AI development with Vercel: from LLM, RAG, and vector embeddings to AI SDK, AI Gateway, and v0 — build production-ready AI web apps end to end.

Jul 4, 2026·7 min

Hermes Agent Deep Dive: An AI Agent Framework That Uses Fewer Tokens Than Open Cloud

Full comparison of Hermes Agent vs Open Cloud: lower token usage, 200+ model support, auto Skill encapsulation, WeChat/DingTalk integration. A cost-effective AI Agent alternative for long-term deployment.

Jul 4, 2026·4 min

AI Workbench: One-Click Content Creation from Topic Research to Final Output

AI Workbenches automate the full content creation pipeline — from topic research to visual output. Multi-model routing, transparent execution, and reusable workflow templates redefine how creators work.

Jul 3, 2026·7 min

AI Agent Practical Guide: The Complete Path from Building to Production Deployment

A deep dive into AI Agent architecture and engineering practices, covering tool design, ReAct execution patterns, Vercel deployment, and production considerations to bridge the prototype-to-production gap.

Jul 3, 2026·3 min

Cursor AI in Action: Building a RAG-Powered AI Customer Service WeChat Mini Program Store from Scratch

Learn how to build a full-stack AI e-commerce system with RAG-powered customer service using Cursor AI, LangChain, FastAPI, Vue3, and WeChat Mini Program.

Jul 1, 2026·4 min

AI Agent Memory System Architecture Breakdown: A Practical Selection Guide from 16 Open-Source Projects

Deep analysis of memory system architectures across 16 open-source AI Agent projects including Hermes, Goose, NanoClaw, and Deerflow, covering FTS5 vs vector search, multi-tenant isolation, and LLM auto-extraction.

Jun 29, 2026·3 min

Dify Comprehensive Guide: The Open-Source Platform for Building AI Apps Without Code

Deep dive into Dify, the open-source LLM app development platform featuring visual workflow engine, RAG knowledge base, Agent capabilities, hundreds of model integrations, Docker deployment, and comparisons with LangChain, Coze, and FastGPT.

Jun 29, 2026·4 min

Deep Dive into Hermes Agent Architecture: Loop Mechanism, Memory System, and Gateway Design

Deep dive into Hermes Agent's core architecture: Agent Loop mechanism, three-layer memory system (Markdown/SQLite/external), Gateway multi-platform integration, context compression, and Cron jobs.

Jun 27, 2026·4 min

The Four Stages of AI Engineering Evolution: From Prompt to Loop Engineering Explained

A systematic breakdown of the four stages of AI engineering: Prompt Engineering, Context Engineering, Runtime Environment Engineering, and Loop Engineering — with core logic, bottlenecks, and real-world use cases.

Jun 25, 2026·3 min

Loop Engineering Explained: An Engineering Approach to Making AI Coding Agents Run Autonomously in Loops

A deep dive into Loop Engineering and the Rhythmic framework: how closed-loop systems replace repetitive prompting to enable autonomous AI coding agents with state management and budget control.

Jun 25, 2026·3 min

How Much Math Do AI Practitioners Really Need? A Deep Dive into Three Role Types

How much math do AI/ML practitioners really need? This article breaks down three roles — Users, Developers, and Researchers — and analyzes the math requirements for each to help you plan your learning path.

Jun 23, 2026·1 min

NVIDIA's Guide to Building Financial Transaction Foundation Models: From Pre-training to Downstream Applications

Deep dive into NVIDIA's guide for building financial transaction foundation models, covering representation learning, Transformer pre-training, distributed GPU training, and fine-tuning for fraud detection and credit assessment.

Jun 23, 2026·2 min

RAG Recall Rate Optimization: A Full-Pipeline Funnel Engineering Breakdown from Data Ingestion to Reranking

How to fix low RAG recall? A systematic breakdown covering data ingestion, query processing, retrieval strategy, and reranking—including semantic chunking, HyDE, hybrid search, and Cross-Encoder reranking.

Jun 22, 2026·3 min

1FlowBase in Practice: Adding Vision Tools to DeepSeek V4 for Multimodal Capabilities

Learn how to use 1FlowBase to mount MIMO 2.5 as a vision tool on DeepSeek V4, creating a Fusion multimodal endpoint with step-by-step orchestration guide.

Jun 22, 2026·4 min

KV Cache Saves 20x on Costs: The Underlying Principles and Practical Tips for LLM Inference Optimization

Deep dive into how KV Cache reduces LLM API costs by 20x. From Transformer attention matrix multiplication overhead to prompt caching best practices, understand the fundamentals of AI inference cost optimization.

Jun 21, 2026·2 min

Elastic Acquires Deductive AI for $85M, Accelerating the AI-Powered Debugging Market

Elastic acquires AI debugging startup Deductive AI for up to $85M, boosting its observability and security platform. Analysis of the deal's strategy, competitive landscape, and industry impact.

Jun 19, 2026·3 min

Xiaomi Open-Sources MiMo Code: Cross-Session Memory System Tackles AI Coding's Amnesia Problem

Xiaomi open-sources MiMo Code with SQLite FTS5-powered cross-session memory, solving AI coding assistants' context loss. Supports multi-Agent collaboration, million-line codebases, and OpenAI-compatible APIs.

Jun 19, 2026·3 min

The Complete Evolution of RAG: A Six-Generation Journey from Naive Retrieval to Multimodal

A complete guide to RAG evolution from Naive RAG through Advanced, Agentic, Graph, and Multimodal RAG — covering core techniques, pain points solved, and real-world use cases.

Jun 18, 2026·4 min

Vibe Coding Methodology for Non-Programmers: Building an AI Development Loop with Automated Testing + Knowledge Accumulation

How can non-programmers develop efficiently with AI? This guide details end-to-end automated testing and knowledge accumulation to build a self-verifying Vibe Coding development loop.

Jun 18, 2026·4 min

Ponytail: The Lazy Philosophy That Teaches AI to Write 90% Less Code

Deep dive into how GitHub's trending project Ponytail uses YAGNI principles, NCP protocol, and declarative scheduling to constrain AI coding assistants, cutting 90% of redundant code.