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| { | ||
| "key": "awesome-astra-vector-demos", | ||
| "tags": ["vector", "astradb", "python", "cassio", "langchain"], | ||
| "urls": { | ||
| "github": "https://github.com/awesome-astra/docs", | ||
| "heroimage": "https://raw.githubusercontent.com/awesome-astra/docs/main/docs/img/vector_demos/vector_demos.png", | ||
| "readme": "https://raw.githubusercontent.com/awesome-astra/docs/main/docs/pages/aiml/llm/vector_demos.md" | ||
| }, | ||
| "name": "Vector Demos", | ||
| "description": "Vector Search and GenAI, a curated collection of demo notebooks and apps.", | ||
| "duration": "2h", | ||
| "skilllevel": "Intermediate", | ||
| "priority": 1 | ||
| } | ||
| "key": "awesome-astra-vector-demos", | ||
| "tags": [ | ||
| "vector", | ||
| "astradb", | ||
| "python", | ||
| "cassio", | ||
| "langchain" | ||
| ], | ||
| "urls": { | ||
| "github": "https://github.com/awesome-astra/docs", | ||
| "heroimage": "https://raw.githubusercontent.com/awesome-astra/docs/main/docs/img/vector_demos/vector_demos.png", | ||
| "readme": "https://raw.githubusercontent.com/awesome-astra/docs/main/docs/pages/aiml/llm/vector_demos.md" | ||
| }, | ||
| "last_modified": "Thu, 21 Dec 2023 13:11:38 GMT", | ||
| "forks_count": 15, | ||
| "stargazers_count": 31, | ||
| "name": "Vector Demos", | ||
| "description": "Vector Search and GenAI, a curated collection of demo notebooks and apps.", | ||
| "duration": "2h", | ||
| "skilllevel": "Intermediate", | ||
| "priority": 1, | ||
| "readme": "<div class=\"nosurface\" markdown=\"1\">\n<img src=\"../../../../img/vector_demos/vector_demos.png\" style=\"height: 180px;\" />\n</div>\n<p><strong>Vector Search and GenAI, a curated collection of demo notebooks and apps.</strong></p>\n<h2>Notebooks</h2>\n<p>This is a collection of quickstarts and tutorials, available either<br />\nas stand-alone <a href=\"/docs/pages/tools/notebooks/jupyter/\">Jupyter</a><br />\nor Google Colab notebooks (usually both),<br />\nand involving Astra DB and generative AI --<br />\nspecifically, vector-search-powered use cases.</p>\n<table>\n<thead>\n<tr>\n<th>Overview</th>\n<th>Prerequisites</th>\n<th>Links</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Learn about using Vector Search to find content related to a query, and then pass that to an LLM to understand how the RAG pattern works for AI powered chatbots.</td>\n<td>You will need an <strong>Astra account</strong> with a <strong>Serverless Cassandra with Vector Search</strong> database. Moreover, an <strong>OpenAI API Key</strong> is required.</td>\n<td><a href=\"https://colab.research.google.com/github/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/Retrieval_Augmented_Generation_(for_AI_Chatbots).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a> Or, <a href=\"https://github.com/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/Retrieval_Augmented_Generation_(for_AI_Chatbots).ipynb\">download the notebook</a>.</td>\n</tr>\n<tr>\n<td>Learn how to use Vector Similarity Search to find images based on natural language descriptions using CLIP.</td>\n<td>You will need an <strong>Astra account</strong> with a <strong>Serverless Cassandra with Vector Search</strong> database.</td>\n<td><a href=\"https://colab.research.google.com/github/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/astra_vsearch_image.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a> Or, <a href=\"https://github.com/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/astra_vsearch_image.ipynb\">download the notebook</a>.</td>\n</tr>\n<tr>\n<td>Try a simple Question-Answering demo powered by a vector-capable database instance. You will use the Astra integration for LangChain and OpenAI for the embeddings and the LLM (Large-Language-Model).</td>\n<td>You will need an <strong>Astra account</strong> with a <strong>Serverless Cassandra with Vector Search</strong> database. Moreover, an <strong>OpenAI API Key</strong> is required.</td>\n<td><a href=\"https://colab.research.google.com/github/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/Quickstart_QA_Search_with_LangChain.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a> Or, <a href=\"https://github.com/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/Quickstart_QA_Search_with_LangChain.ipynb\">download the notebook</a>.</td>\n</tr>\n<tr>\n<td>Understand Vector Search and the RAG pattern by building a simple generator of "philosophical quotes" which uses Astra for storage and OpenAI for retrieval+generation.</td>\n<td>You will need an <strong>Astra account</strong> with a <strong>Serverless Cassandra with Vector Search</strong> database. Moreover, an <strong>OpenAI API Key</strong> is required.</td>\n<td>Notebooks (including Colab links) hosted by <a href=\"https://github.com/openai/openai-cookbook/tree/main/examples/vector_databases/cassandra_astradb\">openai-cookbook</a>.</td>\n</tr>\n</tbody>\n</table>\n<p>If you open the notebooks in Colab, and would like to make changes to them, choose "Save a copy in Drive" from the File menu in Colab.</p>\n<h2>Sample applications</h2>\n<p>Check this section for full applications making use of Vector Search,<br />\nAstra DB and other GenAI technologies.</p>\n<ul>\n<li>AI-powered <a href=\"https://github.com/CassioML/langchain-hotels-app#readme\">"Hotel search demo"</a> (uses Vector Search and GenAI personalization; has a one-click "open in Gitpod" button)</li>\n<li>AI-powered <a href=\"https://github.com/CassioML/langchain-flare-pdf-qa-demo#readme\">"FLARE QA on PDF files"</a> application (vector-search-based question-answering client+API setup; has a one-click "open in Gitpod" button)</li>\n</ul>\n", | ||
| "readme_markdown": "<div class=\"nosurface\" markdown=\"1\">\n\n<img src=\"../../../../img/vector_demos/vector_demos.png\" style=\"height: 180px;\" />\n</div>\n\n**Vector Search and GenAI, a curated collection of demo notebooks and apps.**\n\n## Notebooks\n\nThis is a collection of quickstarts and tutorials, available either\nas stand-alone [Jupyter](/docs/pages/tools/notebooks/jupyter/)\nor Google Colab notebooks (usually both),\nand involving Astra DB and generative AI --\nspecifically, vector-search-powered use cases.\n\n| Overview | Prerequisites | Links |\n|---|---|---|\n| Learn about using Vector Search to find content related to a query, and then pass that to an LLM to understand how the RAG pattern works for AI powered chatbots. | You will need an **Astra account** with a **Serverless Cassandra with Vector Search** database. Moreover, an **OpenAI API Key** is required. | <a href=\"https://colab.research.google.com/github/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/Retrieval_Augmented_Generation_(for_AI_Chatbots).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a> Or, <a href=\"https://github.com/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/Retrieval_Augmented_Generation_(for_AI_Chatbots).ipynb\">download the notebook</a>.|\n| Learn how to use Vector Similarity Search to find images based on natural language descriptions using CLIP. | You will need an **Astra account** with a **Serverless Cassandra with Vector Search** database. | <a href=\"https://colab.research.google.com/github/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/astra_vsearch_image.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a> Or, <a href=\"https://github.com/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/astra_vsearch_image.ipynb\">download the notebook</a>.|\n| Try a simple Question-Answering demo powered by a vector-capable database instance. You will use the Astra integration for LangChain and OpenAI for the embeddings and the LLM (Large-Language-Model). | You will need an **Astra account** with a **Serverless Cassandra with Vector Search** database. Moreover, an **OpenAI API Key** is required. | <a href=\"https://colab.research.google.com/github/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/Quickstart_QA_Search_with_LangChain.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a> Or, <a href=\"https://github.com/awesome-astra/docs/blob/main/docs/pages/tools/notebooks/Quickstart_QA_Search_with_LangChain.ipynb\">download the notebook</a>.|\n| Understand Vector Search and the RAG pattern by building a simple generator of \"philosophical quotes\" which uses Astra for storage and OpenAI for retrieval+generation. | You will need an **Astra account** with a **Serverless Cassandra with Vector Search** database. Moreover, an **OpenAI API Key** is required. | Notebooks (including Colab links) hosted by [openai-cookbook](https://github.com/openai/openai-cookbook/tree/main/examples/vector_databases/cassandra_astradb). |\n\n\nIf you open the notebooks in Colab, and would like to make changes to them, choose \"Save a copy in Drive\" from the File menu in Colab.\n\n\n## Sample applications\n\nCheck this section for full applications making use of Vector Search,\nAstra DB and other GenAI technologies.\n\n- AI-powered [\"Hotel search demo\"](https://github.com/CassioML/langchain-hotels-app#readme) (uses Vector Search and GenAI personalization; has a one-click \"open in Gitpod\" button)\n- AI-powered [\"FLARE QA on PDF files\"](https://github.com/CassioML/langchain-flare-pdf-qa-demo#readme) application (vector-search-based question-answering client+API setup; has a one-click \"open in Gitpod\" button)\n\n\n\n\n", | ||
| "_id": "awesome-astra-vector-demos" | ||
| } |
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