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@@ -9,4 +9,34 @@ In this sample the local model [multi-qa-MiniLM-L6-cos-v1](https://huggingface.c
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- use [Fulltext search in Azure SQL database with BM25 ranking](https://learn.microsoft.com/en-us/sql/relational-databases/search/limit-search-results-with-rank?view=sql-server-ver16#ranking-of-freetexttable)
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- do re-ranking applying Reciprocal Rank Fusion (RRF) to combine the BM25 ranking with the cosine similarity ranking
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Make sure to setup the database for this sample using the `./python/00-setup-database.sql` script. Database can be either an Azure SQL DB or a SQL Server database.
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Make sure to setup the database for this sample using the `./python/00-setup-database.sql` script. Database can be either an Azure SQL DB or a SQL Server database. Once the database has been created, you can run the `./python/hybrid_search.py` script to do the hybrid search:
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First, set up the virtual environment and install the required packages:
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```bash
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python -m venv .venv
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```
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Activate the virtual environment and then install the required packages:
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```bash
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pip install -r requirements.txt
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```
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Create an environment file `.env` with the connection string to Azure SQL database. You can use the `.env.sample` as a starting point. The sample `.env` file shows how to use Entra ID to connect to the database, which looks like:
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```text
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MSSQL='Driver={ODBC Driver 18 for SQL Server};Server=tcp:<server>,1433;Database=<database>;Encrypt=yes;TrustServerCertificate=no;Connection Timeout=30'
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```
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If you want to use SQL Authentication the connection string would instead look like the following:
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```
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MSSQL='Driver={ODBC Driver 18 for SQL Server};Server=tcp:<server>,1433;Database=<database>;UID=<user>;PWD=<password>;Encrypt=yes;TrustServerCertificate=yes;Connection Timeout=30'
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