[Title] Check Token Usage
[Version] initial
[Language] ENG
[Package] langchain, langchain-openai

LangChain Token Usage Monitoring Tutorial
- Implemented token usage tracking using `get_openai_callback` in LangChain.
- Demonstrated single and multiple query monitoring for OpenAI API calls.
- Provided examples of calculating token usage and associated costs.

1. .env 관련 내용에 대한 안내 추가
2. 예제의 korea 를 United States 로 변경
3. outdated 된 import 수정:
from langchain_community.callbacks.manager
4. 따라서 langchain-community 를 dependency 에 추가

- Adjusted execution counts for code cells to reflect the correct order of operations.
- Added 'langchain_community' to the list of packages for improved callback management.
- Modified the callback import statement to use the community version.
- Updated the example query to reflect a more relevant question.
- Corrected token usage output values to ensure accurate reporting of tokens used and associated costs.

…HAGI-c/LangChain-OpenTutorial into 04-Check-token-usage-by-Haseom

…ate token usage statistics. Adjusted execution counts for code cells, added pip upgrade notice, and refined output values for total tokens and costs to ensure accurate reporting. Enhanced example queries for clarity.

[Title] add code splitter with 07-TextSplitter
[Version] initial
[Language] ENG
[Packages] langchain_text_splitters

This is a tutorial on splitting programming languages.

- It utilizes LangChain's  to split various languages.
- It provides examples and results of code splitting for each language.
- Examples of code splitting for multiple languages, including Python, JavaScript, TypeScript, Markdown, LaTeX, HTML, Solidity, C#, PHP, and Kotlin.

[Title] Multimodal Embedding
[Version] initial
[Language] ENG
[Package] langchain-experimental,pillow,open_clip_torch,scikit-learn,numpy,requests

Langchain and Multimodal Embedding Tutorial
- Serving the `OpenCLIP` Embedding model using `huggingface` and `langchain-experimental`.
- In this example, we obtain `cosine similarity` between **'image(query)-image'** or **'text(query)-image'**, and based on this, we search the dataset for Top5 images most similar to the query.

[Title] Multimodal Embedding
[Version] hotfix
[Language] ENG
[Package] langchain-experimental,pillow,open_clip_torch,scikit-learn,numpy,requests

Langchain and Multimodal Embedding Tutorial
- Serving the `OpenCLIP` Embedding model using `huggingface` and `langchain-experimental`.
- In this example, we obtain `cosine similarity` between **'image(query)-image'** or **'text(query)-image'**, and based on this, we search the dataset for Top5 images most similar to the query.

Hotfix - 2024.12.30
- `Setting Image Data` section markdown change
- `./data/for_embed_images` -> `./data/for_embed_images`

…ken-usage-by-Haseom

04-Check Token Usage

add empty dir

Table of Contents 에는 ### 에 해당하는 부분의 표기는 포함하지 않는 것을 Rule 로 정했으나, 본 튜토리얼은 각 언어별로 보여주는 것이 중요하기에 언어 링크는 그대로 유지하였습니다.
다만, Envionment Setup 부분의 하위 목록만 제거했습니다.
사소한 문구를 수정하였습니다. (변경 사항에서 확인하실 수 있습니다.)

[Title] Comma Separated List Output Parser
[Version] initial
[Language] ENG
[Packages] langchain_core, lanchain_openai

Tutorial for Comma Separated List Output Parser and Simple Usage Examples

add code splitter with 07-TextSplitter

아래와 같은 수정사항을 반영해 두었습니다.

load_dotenv 부분에 불필요한 # 코멘트 들어가 있는 부분 제거
dotenv 위에 가이드라인 설명 추가

CommaSeparatedList OutputParser

Multimodal Embedding

Add ConversationBufferWindowMemory and TokenBufferMemory

[Title] Chat-Models
[Version] initial
[Language] ENG
[Packages] langchain_community, langchain-openai, langchain_together, langchain_cohere, langchain_anthropic

[Title] Chat-Models
[Version] initial
[Language] ENG
[Packages] langchain_community, langchain-openai, langchain_together, langchain_cohere, langchain_anthropic

[Title] Chat-Models
[Version] initial
[Language] ENG
[Packages] langchain_community, langchain-openai, langchain_together, langchain_cohere, langchain_anthropic

[Title] Models
[Version] initial
[Language] ENG
[Packages] .