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merged 3 commits into from
Jan 15, 2025
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redo commit UpstageEmbedding.py #335

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ccf7aa8
[Team] New content development Team3
LEE1026icarus Jan 13, 2025
dfd1016
Merge remote-tracking branch 'upstream/main' into Upstage
LEE1026icarus Jan 13, 2025
a01ce20
redo commit the file
LEE1026icarus Jan 13, 2025
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30 changes: 16 additions & 14 deletions 08-Embedding/04-UpstageEmbeddings.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -9,13 +9,14 @@
"- Author: [Sun Hyoung Lee](https://github.com/LEE1026icarus)\n",
"- Design: \n",
"- Peer Review : [Pupba](https://github.com/pupba), [DoWoung Kong](https://github.com/krkrong)\n",
"- Proofread:\n",
"- This is a part of [LangChain Open Tutorial](https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial)\n",
"\n",
"[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/LangChain-OpenTutorial/LangChain-OpenTutorial/blob/main/08-Embeeding/04-UpstageEmbeddings.ipynb) [![Open in GitHub](https://img.shields.io/badge/Open%20in%20GitHub-181717?style=flat-square&logo=github&logoColor=white)](https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial/blob/main/08-Embeeding/04-UpstageEmbeddings.ipynb)\n",
"\n",
"## Overview\n",
"\n",
"'Upstage' is a domestic startup specializing in artificial intelligence (AI) technology, particularly in large language models (LLM) and document AI.\n",
"'Upstage' is a Korean startup specializing in artificial intelligence (AI) technology, particularly in large language models (LLM) and document AI.\n",
"\n",
"### Table of Contents\n",
"\n",
Expand All @@ -26,7 +27,8 @@
"### References\n",
"\n",
"- [Upstage API docs](https://console.upstage.ai/docs/getting-started/overview)\n",
"- [Upstage Embeddings](https://console.upstage.ai/docs/capabilities/embeddings)\n"
"- [Upstage Embeddings](https://console.upstage.ai/docs/capabilities/embeddings)\n",
"---\n"
]
},
{
Expand All @@ -37,14 +39,14 @@
"\n",
"Set up the environment. You may refer to [Environment Setup](https://wikidocs.net/257836) for more details.\n",
"\n",
"**[Note]**\n",
" **[Note]** \n",
"- `langchain-opentutorial` is a package that provides a set of easy-to-use environment setup, useful functions and utilities for tutorials. \n",
"- You can checkout the [`langchain-opentutorial`](https://github.com/LangChain-OpenTutorial/langchain-opentutorial-pypi) for more details.\n",
"\n",
"### API Key Configuration\n",
"To use `UpstageEmbeddings`, you need to [obtain a Upstage API key](https://console.upstage.ai/api-keys).\n",
"To use `UpstageEmbeddings` , you need to [obtain a Upstage API key](https://console.upstage.ai/api-keys).\n",
"\n",
"Once you have your API key, set it as the value for the variable `UPSTAGE_API_KEY`."
"Once you have your API key, set it as the value for the variable `UPSTAGE_API_KEY` ."
]
},
{
Expand All @@ -54,7 +56,7 @@
"outputs": [],
"source": [
"%%capture --no-stderr\n",
"!pip install langchain-opentutorial"
"%pip install langchain-opentutorial"
]
},
{
Expand Down Expand Up @@ -105,7 +107,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"You can alternatively set `UPSTAGE_API_KEY` in .env file and load it.\n",
"You can alternatively set `UPSTAGE_API_KEY` in `.env` file and load it.\n",
"\n",
"[Note] This is not necessary if you've already set `UPSTAGE_API_KEY` in previous steps."
]
Expand Down Expand Up @@ -164,8 +166,8 @@
"\n",
"| Model | Release Date | Context Length | Description |\n",
"|------------------------------------|--------------|----------------|-----------------------------------------------------------------------------------------------------|\n",
"| solar-embedding-1-large-query | 2024-05-10 | 4000 | A Solar-base Query Embedding model with a 4k context limit. This model is optimized for embedding user queries in information retrieval tasks such as search and re-ranking. |\n",
"| solar-embedding-1-large-passage | 2024-05-10 | 4000 | A Solar-base Passage Embedding model with a 4k context limit. This model is optimized for embedding documents or texts for retrieval purposes. |"
"| embedding-query | 2024-05-10 | 4000 | A Solar-base Query Embedding model with a 4k context limit. This model is optimized for embedding user queries in information retrieval tasks such as search and re-ranking. |\n",
"| embedding-passage | 2024-05-10 | 4000 | A Solar-base Passage Embedding model with a 4k context limit. This model is optimized for embedding documents or texts for retrieval purposes. |"
]
},
{
Expand All @@ -187,7 +189,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"`Query` is embedded.\n"
"Embed the `query`"
]
},
{
Expand All @@ -209,7 +211,7 @@
"source": [
"# Query Embedding\n",
"embedded_query = query_embeddings.embed_query(\n",
" \"Please provide detailed information about LangChain.\"\n",
" \" Please provide detailed information about LangChain. \"\n",
")\n",
"# Print embedding dimension\n",
"len(embedded_query)"
Expand All @@ -219,7 +221,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"The document is embedded."
"Embed the document"
]
},
{
Expand Down Expand Up @@ -282,7 +284,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "langchain-kr-bpXWMSjn-py3.11",
"language": "python",
"name": "python3"
},
Expand All @@ -301,4 +303,4 @@
},
"nbformat": 4,
"nbformat_minor": 2
}
}
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