{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# DashScope\n", "\n", "Let's load the DashScope Embedding class." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from langchain.embeddings import DashScopeEmbeddings" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "embeddings = DashScopeEmbeddings(\n", " model=\"text-embedding-v1\", dashscope_api_key=\"your-dashscope-api-key\"\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "text = \"This is a test document.\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "query_result = embeddings.embed_query(text)\n", "print(query_result)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "doc_results = embeddings.embed_documents([\"foo\"])\n", "print(doc_results)" ] } ], "metadata": { "kernelspec": { "display_name": "chatgpt", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.4" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }