[简体中文](./README_cn.md) | English # Introduction Dash-CookBook is the repository for sharing various receipts to complete different tasks using DashScope APIs and other API services such as the vector-store DashVector. ## 🚀 DashScope [DashScope](https://dashscope.aliyun.com/) aims to provide the efficient API services backed by the state-of-the-art models in different areas, including LLM, text-to-image, embedding, text-to-speech etc. Visit the official [DashScope website](https://dashscope.aliyun.com/) for a complete list of models supported. ## 🚀 ModelStudio [ModelStudio(百炼)](https://bailian.console.aliyun.com/#/home) is a one-stop large-scale model development platform based on [DashScope](https://dashscope.aliyun.com/) API services. It provides complete model service tools and full-chain application development kits for enterprise customers and individual developers, pre-installing rich capability plugins, providing convenient integration methods such as RAG and Assistant API, and efficiently completing the construction of large-scale model applications. ## 🚀 DashVector [DashVector](https://www.aliyun.com/activity/intelligent/DashVector) is a fully-managed vectorDB service that supports high-dimension dense and sparse vectors, real-time insertion and filtered search. It is built to scale automatically and can adapt to different application requirements. It is currently integrated into 🦜️🔗[LangChain](https://python.langchain.com/docs/integrations/vectorstores/dashvector) as well. # ✨Examples This repository will host examples for accomplishing various tasks by leveraging the aforementioned API services. Most examples are presented via Colab notebook and are executable _right out of the box_ (once you have the API-key for the underlying API services). - Basic usage for LLM calls: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/models/call_model.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/models/call_model.ipynb) - Basic semantic search built with Text-Embedding and VectorDB APIs: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/examples/basic_semantic_search.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/examples/basic_semantic_search.ipynb) - Question-answering with LLM and knowledge-enhancement: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/examples/vectorDB_enhanced_QA_with_LLM.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/examples/vectorDB_enhanced_QA_with_LLM.ipynb) - Finetuning LLM to generate advertisement for e-commerce: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/examples/finetune_LLM_for_advertisement_generation_sdk_api.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/examples/finetune_LLM_for_advertisement_generation_sdk_api.ipynb) - Image Generation using LLM-enhanced prompt: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/examples/image_generation_with_LLM_enhanced_prompt.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/examples/image_generation_with_LLM_enhanced_prompt.ipynb) - Using API and SDK to call agent applications created on the ModelStudio platform: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/apps/call_application.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/apps/call_application.ipynb) - Building agents with Assistant API: - Assistant API Basic Usage: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/assistants/assistant_api_usage.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/assistants/assistant_api_usage.ipynb) - Assistant API Best practice - Travel Assistant: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/assistants/assistant_api_demo.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/assistants/assistant_api_demo.ipynb) - Assistant API Best practice - Official Documentation Assistant: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/assistants/assistant_api_with_rag.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/assistants/assistant_api_with_rag.ipynb) - Assistant API Best practice - Multi-Agent: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/assistants/assistant_api_multi_agent.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/assistants/assistant_api_multi_agent.ipynb) - Building RAG applications: - RAG Application Quick Start: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/rags/rag_quick_start.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/rags/rag_quick_start.ipynb) - Build rag application with llama index SDK: [](https://gallery.pai-ml.com/#/import/https://github.com/dashscope/dash-cookbook/blob/main/rags/build_rag_with_llama_index.ipynb) [](https://colab.research.google.com/github/dashscope/dash-cookbook/blob/main/rags/build_rag_with_llama_index.ipynb) - ... stay tuned for more examples, contribution also welcome! ## 💁Contributing If there are examples you'd like to see, feel free to [open an issue](https://github.com/dashscope/dash-cookbook/issues). Quality examples are also welcome via pull request, please provide a ipynb implementation following existing examples.