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[Search] Updating Notebook to address inference_id is not required #437

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Merged
merged 4 commits into from
Apr 16, 2025
Merged

[Search] Updating Notebook to address inference_id is not required #437

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a8e3f22
Adding notes for inference_id is not required
Samiul-TheSoccerFan Apr 3, 2025
0297029
Refactoring the wordings to include elastic rerank and redundancy
Samiul-TheSoccerFan Apr 7, 2025
8b7edf0
Update rerrank link
Samiul-TheSoccerFan Apr 7, 2025
831a1d7
Updating notebook to address version differences for rerank endpoint
Samiul-TheSoccerFan Apr 11, 2025
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9 changes: 6 additions & 3 deletions notebooks/search/12-semantic-reranking-elastic-rerank.ipynb
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Expand Up @@ -14,7 +14,7 @@
"\n",
"You will:\n",
"\n",
"- Create an inference endpoint to manage your `rerank` task. This will download and deploy the Elastic Rerank model.\n",
"- Use a preconfigured inference endpoint for `rerank` task, skipping the need to create one manually. Alternatively, you can create a new inference endpoint to download and deploy the Elastic Rerank model.\n",
"- Query your data using the `text_similarity_rerank` retriever, leveraging the Elastic Rerank model."
]
},
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},
"source": [
"## Create inference endpoint\n",
"*Note* You can use the preconfigured inference endpoint `.rerank-v1-elasticsearch`, which eliminates the need to create an inference endpoint manually. However, if you prefer to manage your own endpoint, follow the steps below.\n",
"\n",
"Next we'll create an inference endpoint for the `rerank` task to deploy and manage our model and, if necessary, spin up the necessary ML resources behind the scenes."
"Next we'll create an inference endpoint for the `rerank` task to deploy and manage our model and, if necessary, spin up the necessary ML resources behind the scenes. "
]
},
{
Expand Down Expand Up @@ -543,7 +544,9 @@
"source": [
"Success! \"The Silence of the Lambs\" is our top result. Semantic reranking helped us find the most relevant result by parsing a natural language query, overcoming the limitations of lexical search that relies on keyword matching.\n",
"\n",
"Semantic reranking enables semantic search in a few steps, without the need for generating and storing embeddings. This a great tool for testing and building hybrid search systems in Elasticsearch."
"Semantic reranking enables semantic search in a few steps, without the need for generating and storing embeddings. This a great tool for testing and building hybrid search systems in Elasticsearch.\n",
"\n",
"*Note* The `inference_id` field is now optional. If not provided, it defaults to `.rerank-v1-elasticsearch`."
]
},
{
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