diff --git a/examples/vector_databases/zilliz/Filtered_search_with_Zilliz_and_OpenAI.ipynb b/examples/vector_databases/zilliz/Filtered_search_with_Zilliz_and_OpenAI.ipynb index 36b27bf2..da508d4d 100644 --- a/examples/vector_databases/zilliz/Filtered_search_with_Zilliz_and_OpenAI.ipynb +++ b/examples/vector_databases/zilliz/Filtered_search_with_Zilliz_and_OpenAI.ipynb @@ -31,7 +31,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "To get Zilliz up and running take a look [here](https://zilliz.com/doc/get_started_overview). With your account and database set up, proceed to set the following values:\n", + "To get Zilliz up and running take a look [here](https://zilliz.com/doc/quick_start). With your account and database set up, proceed to set the following values:\n", "- URI: The URI your database is running on\n", "- USER: Your database username\n", "- PASSWORD: Your database password\n", @@ -134,7 +134,7 @@ "metadata": {}, "source": [ "## Dataset\n", - "With Zilliz up and running we can begin grabbing our data. Hugging Face Datasets is a hub that holds many different user datasets, and for this example we are using HuggingLearners's netflix-shows dataset. This dataset contains movies and their metadata pairs for over 8 thousand movies. We are going to embed each description and store it within Zilliz along with its title, type, release_year and rating." + "With Zilliz up and running we can begin grabbing our data. `Hugging Face Datasets` is a hub that holds many different user datasets, and for this example we are using HuggingLearners's netflix-shows dataset. This dataset contains movies and their metadata pairs for over 8 thousand movies. We are going to embed each description and store it within Zilliz along with its title, type, release_year and rating." ] }, { @@ -240,7 +240,7 @@ "metadata": {}, "source": [ "## Query the Database\n", - "With our data safely inserted in Zilliz, we can now perform a query. The query takes in a tuple of the movie description you are searching for an the filter to use. More info about the filter can be found [here](https://milvus.io/docs/boolean.md). The search first prints out your description and filter expression. After that for each result we print the score, title, type, release year, rating, and description of the result movies. " + "With our data safely inserted into Zilliz, we can now perform a query. The query takes in a tuple of the movie description you are searching for and the filter to use. More info about the filter can be found [here](https://milvus.io/docs/boolean.md). The search first prints out your description and filter expression. After that for each result we print the score, title, type, release year, rating and description of the result movies. " ] }, {