Adding notebook for function calling with Elasticsearch #250
Conversation
|
Found 1 changed notebook. Review the changes at https://gitnotebooks.com/elastic/elasticsearch-labs/pull/250 |
| "id": "6dc83930-89c0-465b-9002-e6aa0d3f5e6f", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### Generate Elasticsearch Query DSL based on user query" |
There was a problem hiding this comment.
Worth looking into few-shot prompting so you can provide examples on the types of queries you want it to return. This should increase consistency.
There was a problem hiding this comment.
Hi Joe, I think adding this suggestion as side note in the blog would be better. Indeed its great suggestion but performing NL query is one of the part. As I tested it working for most of the basic query i.e search, aggs. Let me know your thought.
There was a problem hiding this comment.
sure! Likely it will work fine as is and yes mention in blog that we are relying on the model's own knowledge to generate the queries but we can increase reliability with few shot for more complex queries.
There was a problem hiding this comment.
Good input. Thanks Joe
| "### Open AI\n", | ||
| "\n", | ||
| "`OPENAI_API_KEY`: Setup an [Open AI account and create a secret key](https://platform.openai.com/docs/quickstart). \n", | ||
| "`GPT_MODEL`: We’re going to use the `gpt-4-1106-vision-preview` model but you can check [here](https://platform.openai.com/docs/guides/function-calling) which model is being supported for function calling.\n", |
There was a problem hiding this comment.
Yeah I was about to change this. Updating with gpt-4o.
Adding a notebook for integrating OpenAI function calling with Elasticsearch