Teddy Lee (teddylee777)

teddylee777

User data from Github https://github.com/teddylee777

Company:테디노트

Location:Pangyo

Home Page:teddylee777.github.io

GitHub:@teddylee777


Organizations
teddynote-lab

Teddy Lee's repositories

langchain-kr

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

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langserve_ollama

무료로 한국어🇰🇷 파인튜닝 모델 받아서 로컬 LLM 호스팅. LangServe, Ollama, streamlit + RAG

langchain-teddynote

LangChain 을 더 쉽게 구현하기 위한 유틸 함수, 클래스를 만들어서 패키지로 배포하였습니다.

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LangGraph-HandsOn

Hands on LangGraph Session

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dify-openwebui

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

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obsidian-templater

Obsidian Templater templates to make my life easier

teddynote-parser-api-client

TeddyNote Parser API Client Library for Python

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swarm

가벼운 멀티에이전트 오케스트레이션을 탐구하는 교육 프레임워크입니다. OpenAI 솔루션 팀에서 관리합니다.

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easy-pdf-rag

This is an example of implementing the RAG feature based on OpenAI Assistant V2 and Anthropic's PDF feature.

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LangChain-OpenTutorial

LangChain, LangGraph Open Tutorial for everyone!

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anthropic-quickstarts

A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API

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fastcampus-perplexity-clone

본 프로젝트는 Fastcampus 강의 중 제공되는 프로젝트 입니다.

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Solar_Prompt_Guide

Solar Prompt Guide

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AI-Resources-Central

Bringing together outstanding artificial intelligence (AI) open source projects from around the world.

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open-webui

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

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PDFMathTranslate

PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/Docker

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dify-plugins

All Dify Plugins listed in Dify Marketplace, plus illustrated plugin examples.

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my_ollama_app

MyOllama: Ollama-based LLM mobile client

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pycon-2024-tutorial

2024 PyCon Korea 튜토리얼

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rag-with-reflection

It shows an advanced RAG with Reflection where LangGraph is used for workflow management.

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