[DOCS] Refines notebook.

Author: szabosteve

notebooks/search/07-inference.ipynb

@@ -25,8 +25,8 @@
  "- An Elastic deployment with minimum **4GB machine learning node**\n",
  " - We'll be using [Elastic Cloud](https://www.elastic.co/guide/en/cloud/current/ec-getting-started.html) for this example (available with a [free trial](https://cloud.elastic.co/registration?utm_source=github&utm_content=elasticsearch-labs-notebook))\n",
  " \n",
- "- An [OpenAI account](https://openai.com/) is required to use the Inference API with \n",
- "the OpenAI service. "
+ "- A paid [OpenAI account](https://openai.com/) is required to use the Inference API with \n",
+ "the OpenAI service as the OpenAI free trial API usage is limited. "
  ]
  },
  {
@@ -109,16 +109,18 @@
  "metadata": {},
  "outputs": [],
  "source": [
- "# Found in the 'Manage Deployment' page\n",
- "CLOUD_ID = getpass.getpass('Enter Elastic Cloud ID:  ')\n",
+ "# https://www.elastic.co/search-labs/tutorials/install-elasticsearch/elastic-cloud#finding-your-cloud-id\n",
+ "ELASTIC_CLOUD_ID = getpass(\"Elastic Cloud ID: \")\n",
  "\n",
- "# Password for the 'elastic' user generated by Elasticsearch\n",
- "ELASTIC_PASSWORD = getpass.getpass('Enter Elastic password: ')\n",
+ "# https://www.elastic.co/search-labs/tutorials/install-elasticsearch/elastic-cloud#creating-an-api-key\n",
+ "ELASTIC_API_KEY = getpass(\"Elastic Api Key: \")\n",
  "\n",
  "# Create the client instance\n",
  "client = Elasticsearch(\n",
- " cloud_id=CLOUD_ID,\n",
- " basic_auth=(\"elastic\", ELASTIC_PASSWORD)\n",
+ " # For local development\n",
+ " # hosts=[\"http://localhost:9200\"] \n",
+ " cloud_id=ELASTIC_CLOUD_ID,\n",
+ " api_key=ELASTIC_API_KEY,\n",
  ")"
  ]
  },
@@ -159,7 +161,7 @@
  "\n",
  "Let's create the inference task by using the [Create inference API](https://www.elastic.co/guide/en/elasticsearch/reference/current/put-inference-api.html).\n",
  "\n",
- "You'll need an OpenAI API key for this that you can find in your OpenAI account under the [API keys section](https://platform.openai.com/api-keys)."
+ "You'll need an OpenAI API key for this that you can find in your OpenAI account under the [API keys section](https://platform.openai.com/api-keys). A paid membership is required to complete the steps in this notebook as the OpenAI free trial API usage is limited."
  ]
  },
  {
@@ -241,7 +243,7 @@
  "source": [
  "## Create index\n",
  "\n",
- "The mapping of the destination index - the index that contains the embeddings that the model will create based on your input text - must be created. The destination index must have a field with the [dense_vector](https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html) field type to index the output of the OpenAI model.\n",
+ "The mapping of the destination index – the index that contains the embeddings that the model will create based on your input text – must be created. The destination index must have a field with the [dense_vector](https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html) field type to index the output of the OpenAI model.\n",
  "\n",
  "Let's create an index named `openai-movie-embeddings` with the mappings we need."
  ]
@@ -265,8 +267,7 @@
  " \"properties\": {\n",
  " \"plot_embedding\": { \n",
  " \"type\": \"dense_vector\", \n",
- " \"dims\": 1536, \n",
- " \"element_type\": \"byte\",\n",
+ " \"dims\": 1536,\n",
  " \"similarity\": \"dot_product\" \n",
  " },\n",
  " \"plot\": { \n",
@@ -282,9 +283,9 @@
  "id": "e9d4bfd2",
  "metadata": {},
  "source": [
- "## Insert Documents (option 1)\n",
+ "## Insert Documents\n",
  "\n",
- "Let's insert our example dataset of 12 movies."
+ "Let's insert our example dataset of 12 movies. You need a paid OpenAI account to complete this step, otherwise the documentation ingest will time out due to the API request rate limits."
  ]
  },
  {