[Team] New Content Development Team 3 - #5
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[Title] Ollama Embedding [Version] initial [Language] ENG [Package] langchain-ollama, scikit-learn Langchain and Ollama Embedding Tutorial - Serving the `nomic-embed-text` Embedding model using Ollama. - An example of of calculating cosine similarity between arbitrary created documents and a query.
[Version] initial [Language] ENG [Package] langchain-ollama, scikit-learn Langchain and Ollama Embedding Tutorial - Serving the nomic-embed-text Embedding model using Ollama. - An example of of calculating cosine similarity between arbitrary created documents and a query. Hotfix - 2024.12.29 : Changed Markdown `Identify Supported Embedding Models and Serving Model` section
[Title] Ollama Embedding [Version] initial [Language] ENG [Package] langchain-ollama, scikit-learn Langchain and Ollama Embedding Tutorial - Serving the `nomic-embed-text` Embedding model using Ollama. - An example of of calculating cosine similarity between arbitrary created documents and a query.
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ro-jun
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window에서 쥬피터 노트북 작동 이상 없었습니다!
코사인 유사도 외 다른 유사도 검색 방법 추가도 좋을거 같습니다!
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@ro-jun 그부분도 추후 업데이트 해보겠습니다! |
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[Team] New Content Development Team 3
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[Title] Ollama Embedding
[Version] initial
[Language] ENG
[Package] langchain-ollama, scikit-learn
Langchain and Ollama Embedding Tutorial
Hotfix