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qdrant
A collection of examples and tutorials for Qdrant vector search engine
This pull request adds a new example demonstrating the integration of Qdrant Search Engine into various applications. The example provides a step-by-step guide for building a search engine very quickly...
Some examples are not listed in the markdown table. Is there a specific reason to keep them away? Because the visitor is most probably going to navigate through the links...
For an example https://github.com/qdrant/examples/blob/06fd19db652bcd9f88e35c8e178a114b5791e8c9/rag-openai-qdrant/rag-openai-qdrant.ipynb still use `query_text`. ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[9], [line 1](vscode-notebook-cell:?execution_count=9&line=1) ----> [1](vscode-notebook-cell:?execution_count=9&line=1) results = client.search( [2](vscode-notebook-cell:?execution_count=9&line=2) collection_name="knowledge-base", [3](vscode-notebook-cell:?execution_count=9&line=3) query_text=prompt, [4](vscode-notebook-cell:?execution_count=9&line=4) limit=3,...
Is it possible to contribute to examples with different cases? I would like to add my use cases as an example.
I create a case for news reccomendation using Qdrant for turkish news dataset.