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JI

Jia Huang (黄佳)

Tier 2 (Warm)Unclaimed Profile

@huangjia2019

AI Engineer & Technical Author —— Turning LLM demos into real-world RAG and Agent systems.

A*STAR 1,094 followers 3,334 stars On GitHub since 2019

Analyzed 3/26/2026

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Repos Analyzed

27

With LLM Usage

1

Total Call Sites

17

LLM Providers

5

Stack Complexity
advanced
58/100
AI Providers
5
Frameworks
1
Agent Frameworks
1
Observability
1
Architecture Overview

LLM Providers

AnthropicCohereFireworksHuggingFaceOpenAI
Interactive Cost Calculator

Estimate costs using published model pricing and your own volume inputs.

Model

Daily API Calls

1,000
10100K

Avg Tokens per Request

1,000
10010,000

gpt-4o pricing

Input: $2.5/1M tokens  ·  Output: $10/1M tokens

These estimates use published model pricing. Actual costs depend on your call volume, prompt length, and response size.

Repositories with LLM Usage (1)

powerful_llm

极客时间 - 大模型应用开发实战课: 展现LLM应用开发之强大

58/100 advanced
AnthropicCohereFireworksHuggingFace

Other repos checked (26)

langchain-in-actionrag-in-actionai-agentsclaude-code-engineeringlet-us-machine-learningllm-gptmcp-in-actionchatgpt-briefingrag-project01-frameworkai-in-practicea2a-in-actiondatalogic

Models

claude-4-sonnetcommand-r-plusllama-3.3-70bgpt-4o

Frameworks

LangChain

Agent Frameworks

LangGraph

Embeddings

OpenAI Tokenizer

Observability

LangSmith
OpenAI
claude-4-sonnet
command-r-plus
llama-3.3-70b
gpt-4o
LangChain
17 call sites0 files checked73
rag-project02-medical-nlp-box
DeepBlue-LLM
rag-project03-audit
rag-project04-knowledgegraph
huangjia2019.github.io
house
claude-code-engingeering-EN
llm-in-action
graph-rag-2412
skills-copilot-codespaces-vscode
CV-Hands-On
skills-code-with-codespaces
continual_learning
kage-ai-site