#FAISS

121 related articles

Jul 20, 2026·3 min

Andrew Ng × Anthropic: A Practical Guide to Claude Code and Its Core Methodology

Andrew Ng and Anthropic's Claude Code course covers RAG development, data analysis, and Figma-to-frontend projects, with deep dives into context management, MCP tools, and CLAUDE.md architecture.

TurboVec: A Deep Dive into the Rust-Po…

Jul 18, 2026·3 min

TurboVec: A Deep Dive into the Rust-Powered High-Performance Vector Index Library

TurboVec is a Rust-based vector index library powered by TurboQuant, with Python bindings for RAG, semantic search, and AI applications. A deep-dive into its architecture.

Jul 17, 2026·3 min

AI Agent 4-Week Learning Roadmap: A Complete Guide from Zero to Independent Development

A structured 4-week AI Agent learning roadmap: Week 1 covers LLMs & Prompt engineering, Week 2 ReAct paradigms, Week 3 RAG memory systems, Week 4 multi-agent architectures.

Jul 17, 2026·4 min

LangChain + LangGraph Full-Stack in Practice: A Production-Ready Guide to Six Core Modules and Agent Deployment

A systematic breakdown of LangChain's six core modules (Models/Prompts/Chains/Memory/RAG/Agent) and LangGraph's state graph, persistence, and HITL — with production deployment tips.

Jul 17, 2026·5 min

A Deep Dive into Vector Search for AI Agents: The Technical Foundations of RAG and Long-Term Memory

An in-depth look at the core tech behind AI Agents: how the HNSW, IVF, and PQ vector search algorithms power RAG and long-term memory. Understand where a model's "memory" and "knowledge" come from.

Jul 17, 2026·3 min

Getting Started with LangChain 1.3: Building Intelligent Agent Applications with Deep Agent

Learn LangChain 1.3 core concepts including LLM model abstraction, RAG retrieval-augmented generation, and Agent orchestration. Build a Deep Agent with planners, tools, and reflection modules.

Jul 16, 2026·3 min

Can Small Local Models Become Software Domain Experts? A RAG Architecture Deep Dive

Can small local models (1.5B–3B) become software domain experts? This article breaks down CPT, SFT, RAG, and Agent architectures, with a layered RAG-centric design for CPU-only local deployment.

Jul 15, 2026·3 min

New Retrieval Paradigms: Hobbit's Hard Negative Construction and Disco's Collaborative Coverage Index Design

A deep dive into two frontier dense retrieval works: Hobbit uses gradient analysis to automatically construct hard batches; Disco replaces single-document competition with submodular collaborative coverage, reshaping Top-K retrieval.

Voice-Driven Geometric Interaction: LL…

Jul 14, 2026·2 min

Voice-Driven Geometric Interaction: LLM Semantic Parsing and Function Calling Architecture in Practice

How can LLMs translate natural language into geometric operations? This article breaks down a voice-driven geometry system: LLM for semantic parsing, Function Calling to bridge the geometry SDK.

Structured Information Extraction with…

Jul 14, 2026·3 min

Structured Information Extraction with Local 7B Quantized Models: Root Cause Analysis and Engineering Optimization

Using Qwen 2.5 7B quantized locally to extract 60+ fields from insurance/financial contracts? Learn why it struggles and how task splitting, RAG, GBNF, and smarter chunking can fix it.

Jul 13, 2026·3 min

Linguistics to NLP Engineer: Comparing Three Pathways and Finding the Optimal Strategy

How can linguistics or translation majors transition into NLP engineering? This article compares three pathways and offers a phased strategy covering core skills, project building, and job hunting tips.

Jul 13, 2026·6 min

A Beginner's Guide to Claude Code: Why Is It More Powerful Than Cursor and Trae?

Claude Code is Anthropic's local AI programming assistant that reads your entire codebase, auto-debugs, and delivers far higher accuracy than Cursor and Trae. Here's why it's the strongest AI coding tool today.

Jul 12, 2026·4 min

The Complete AI Agent Development Learning Path: From Zero to Enterprise-Grade Practice

A systematic AI Agent development learning path covering fundamentals, prompt engineering, tool calling, multi-agent collaboration, and hands-on practice with LangChain, CrewAI, and Dify.

Jul 12, 2026·7 min

Breaking Down the Core Skills of an AI Application Engineer: From Beginner to Industrial-Grade Deployment

Knowing how to call an API doesn't make you an AI engineer. This article breaks down the complete skill structure of an AI application engineer, covering Python fundamentals, LLM fine-tuning, Agent development, and enterprise projects.

Jul 12, 2026·4 min

ChatGLM Large Model Development Tutorial: From Zero to Enterprise Deployment

Systematically learn ChatGLM large model development, covering Transformer principles, RAG, private deployment, fine-tuning, and Agent development, with a roadmap and hands-on cases.

Jul 12, 2026·5 min

Local Code Indexing: Cutting AI Coding Token Costs by 94%

AI coding bills exploding? 90% of the cost hides on the input side. Learn how local code indexing + dual-path search cuts each query from 83,000 to 4,900 tokens—saving 94%.

Jul 12, 2026·6 min

Getting Started with AI Agents: Principles, Frameworks, and a Guide to Building Enterprise-Grade Agents

In-depth analysis of AI Agent core principles: why LLMs need Agent technology, the evolution from Prompt to RAG to Agent, Agent Tuning methods, and enterprise cost evaluation to help you build enterprise-grade agent applications.

Jul 12, 2026·5 min

Multi-Model Tiered Deployment: Is an AI Gateway Worth Adopting?

More teams are adopting multi-model tiered scheduling. AI gateways solve cross-vendor API management, automatic fallback, and cost tracking — but add a new abstraction layer. Learn when a gateway is worth it.

The Documentation Dilemma: Why Enterpr…

Jul 12, 2026·3 min

The Documentation Dilemma: Why Enterprise Knowledge Remains Locked in the 'Filing Cabinet'

From retrieval difficulties to lagging updates and disconnected workflows, three dilemmas plague traditional documentation. Explore how the AI era can break the deadlock and get knowledge flowing.

Jul 12, 2026·4 min

433 Fitness Exercises Open-Source Dataset: Structured Fields + Animation Demos Fully Explained

GitHub trending project exercises-dataset features 433 fitness exercises with target muscles, equipment types, instructions, and animation demos—ideal for fitness apps, AI coaches, and RAG systems.