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add two notebook tutorials (#167)
add links to two jupyter notebook tutorials to show on the tutorials index and individual sidebar links
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@@ -24,6 +24,8 @@ These tutorials demonstrate different ways you can build vector search into your
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Complex instructions that are supported with a throrough explanation. Follow along by trying out the code and get the most out of each example.
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| Jupyter Notebook | Description | Stack |
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| Jupyter Notebook | Description | Stack |
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|-----------------------|----------------------------------------------|--------|
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| [Build a Q&A Engine](https://githubtocolab.com/qdrant/examples/blob/master/llama_index_recency/Qdrant%20and%20LlamaIndex%20%E2%80%94%20A%20new%20way%20to%20keep%20your%20Q%26A%20systems%20up-to-date.ipynb) | Design a question/answer system that updates. | Qdrant, LlamaIndex, Cohere |
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| [Qdrant 101 - Getting Started](https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_getting_started/getting_started.ipynb) | Basics of search and recommendation systems. | Qdrant |
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| [Qdrant 101 - Text Data](https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_text_data/qdrant_and_text_data.ipynb) | Work with text data to develop a semantic search and a recommendation engine. | Qdrant |
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| [Build a Q&A Engine](https://githubtocolab.com/qdrant/examples/blob/master/llama_index_recency/Qdrant%20and%20LlamaIndex%20%E2%80%94%20A%20new%20way%20to%20keep%20your%20Q%26A%20systems%20up-to-date.ipynb) | Design a question/answer system that updates. | Qdrant, LlamaIndex, Cohere |
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@@ -0,0 +1,7 @@
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---
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title: Qdrant 101 - Getting Started
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weight: 1
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type: external-link
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external_url: https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_getting_started/getting_started.ipynb
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sitemapExclude: True
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@@ -0,0 +1,7 @@
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title: Qdrant 101 - Text Data
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weight: 2
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type: external-link
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external_url: https://githubtocolab.com/qdrant/examples/blob/master/qdrant_101_text_data/qdrant_and_text_data.ipynb
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sitemapExclude: True
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---
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