[N-3] 08-Embedding / 04-UpstageEmbeddings #201
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[Title] UpstageEmbeddings [Version] initial [Language] ENG [Packages] dotenv, langchain_upstage, numpy - Langchain and UpstageEmbeddings Tutorial - A tutorial on using Langchain's class to access UpstageEmbeddings.
[Title] UpstageEmbeddings [Version] initial [Language] ENG [Packages] dotenv, langchain_upstage, numpy - Langchain and UpstageEmbeddings Tutorial - A tutorial on using Langchain's class to access UpstageEmbeddings.
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μλ νμΈμ @choincnpλ ν΄λΉ PR conflict resolveλ ν¨κ» μμ²λ립λλ€ |
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@chaeyoonyunakim conflict resolveλ₯Ό μ κ° ν΄μΌνλ건κ°μ? μλλ©΄ conflict resolveλ₯Ό λΆνλ리λΌκ³ νμλ 건κ°μ? |
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Eembed the Query > Embed the query conflict μμΈ μ°μ μ°Ύμλ³΄κ³ ν΄κ²°ν΄λ³΄κ² μ΅λλ€ |
[Title] UpstageEmbeddings [Version] initial [Language] ENG [Packages] dotenv, langchain_upstage, numpy - Langchain and UpstageEmbeddings Tutorial - A tutorial on using Langchain's class to access UpstageEmbeddings.
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μλ νμΈμ @choincnp λ μμ μ΄ μλμλμ§ νμΈ λΆνλ립λλ€! |
νμ€ μμ½: PR conflict resolveλ κ°μ₯ μ΅μ°μ νμΈ μμ²μ¬νμ λλ€. λ°νμκ° μμ ν©λλ€ TL;DR μΌλ°μ μΌλ‘ PR λ°νμκ° conflict resolveλ₯Ό νλ κ²μ΄ μ’μ΅λλ€. (νΉν μ ν¬λ PRλ°νμκ° μμΌλ‘λ κ³μν΄μ κΈ°μ¬ν λΆμ΄μλ νλ² conflict κ° λ κ²μ ν΄κ²°νμ§ μμΌλ©΄ κ³μ λ°λ³΅λ μ¬νμ΄λΌμμ) μ΄λ€ κ²½μ°μλΌλ μμμκ° νμΌ λ³κ²½μ νλ©΄ (conflict ν΄κ²°μ νλ κ³Όμ μμλ λ²μ/κ°μ μμ μ μ λ°μμ νλ ) 리뷰μ΄κ° approvalν κΈ°μ‘΄ μ¬νμ΄ λ€μ νλ¦¬κ² λ©λλ€. κ·Έλ¬λ©΄ λ¦¬λ·°μ΄ @choincnp @BokyungisaGod λ μ μ₯μμ μΌμ λλ² νκ² λλ μν©μ΄κ³ , μμμ @LEE1026icarus λλ PR mergeκΉμ§ νμμΈ approval 2κ°λ₯Ό μ±μ°κΈ° μν΄μ μΆκ° νλ‘μ μ ν΄μΌ ν©λλ€. μ€λͺ
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[Title] 01-RAG-Basic-PDF [Version] initial [Language] ENG [Packages] dotenv, langchain_teddynote, langchain_text_splitters, langchain_community.document_loaders, langchain_community.vectorstores , langchain_core.output_parsers, langchain_core.runnables, langchain_core.prompts, langchain_openai - Langchain and RAG Basic Pdf Tutorial -A tutorial on accessing basic PDF documents for Retrieval Augmented Generation (RAG) using LangChain..
[Version] initial [Language] ENG [Packages] dotenv, langchain_teddynote, langchain_text_splitters, langchain_community.document_loaders, langchain_community.vectorstores , langchain_core.output_parsers, langchain_core.runnables, langchain_core.prompts, langchain_openai - Langchain and RAG Basic Pdf Tutorial -A tutorial on accessing basic PDF documents for Retrieval Augmented Generation (RAG) using LangChain..
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Checklist
- Template: Tutorials follows the required template.
- Table of Contents(TOC) Links: All Table of Contents links work. ((Yes/No)
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- Comments: κ³ μνμ ¨μ΅λλ€! μ½λ μ΄μ μμ΅λλ€!
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μλ νμΈμ. @krkrong λ€μ νλ² approve λΆνλ립λλ€!! |
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