mirror of
https://github.com/elastic/elasticsearch.git
synced 2025-06-29 09:54:06 -04:00
80a22ec046
* Initial docs for put-inference for Mistral * adds mistral embeddings to tutorial; add changelog * update mistral text and dimensions * fix mistral spelling error * fix azure AI studio; fix Mistral label * fix auto-formatted items * change pipeline button back to azure openai * put proper Azure AI Studio include in * fix missing azure-openai; fix huggingface hidden * fix mistral tab for reindex * re-add Mistral service settings to put inference
166 lines
4.3 KiB
Text
166 lines
4.3 KiB
Text
////
|
|
|
|
[source,console]
|
|
----
|
|
DELETE _ingest/pipeline/*_embeddings
|
|
----
|
|
// TEST
|
|
// TEARDOWN
|
|
|
|
////
|
|
|
|
// tag::cohere[]
|
|
|
|
[source,console]
|
|
--------------------------------------------------
|
|
PUT _ingest/pipeline/cohere_embeddings
|
|
{
|
|
"processors": [
|
|
{
|
|
"inference": {
|
|
"model_id": "cohere_embeddings", <1>
|
|
"input_output": { <2>
|
|
"input_field": "content",
|
|
"output_field": "content_embedding"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
--------------------------------------------------
|
|
<1> The name of the inference endpoint you created by using the
|
|
<<put-inference-api>>, it's referred to as `inference_id` in that step.
|
|
<2> Configuration object that defines the `input_field` for the {infer} process
|
|
and the `output_field` that will contain the {infer} results.
|
|
|
|
// end::cohere[]
|
|
|
|
// tag::hugging-face[]
|
|
|
|
[source,console]
|
|
--------------------------------------------------
|
|
PUT _ingest/pipeline/hugging_face_embeddings
|
|
{
|
|
"processors": [
|
|
{
|
|
"inference": {
|
|
"model_id": "hugging_face_embeddings", <1>
|
|
"input_output": { <2>
|
|
"input_field": "content",
|
|
"output_field": "content_embedding"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
--------------------------------------------------
|
|
<1> The name of the inference endpoint you created by using the
|
|
<<put-inference-api>>, it's referred to as `inference_id` in that step.
|
|
<2> Configuration object that defines the `input_field` for the {infer} process
|
|
and the `output_field` that will contain the {infer} results.
|
|
|
|
// end::hugging-face[]
|
|
|
|
// tag::openai[]
|
|
|
|
[source,console]
|
|
--------------------------------------------------
|
|
PUT _ingest/pipeline/openai_embeddings
|
|
{
|
|
"processors": [
|
|
{
|
|
"inference": {
|
|
"model_id": "openai_embeddings", <1>
|
|
"input_output": { <2>
|
|
"input_field": "content",
|
|
"output_field": "content_embedding"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
--------------------------------------------------
|
|
<1> The name of the inference endpoint you created by using the
|
|
<<put-inference-api>>, it's referred to as `inference_id` in that step.
|
|
<2> Configuration object that defines the `input_field` for the {infer} process
|
|
and the `output_field` that will contain the {infer} results.
|
|
|
|
// end::openai[]
|
|
|
|
// tag::azure-openai[]
|
|
|
|
[source,console]
|
|
--------------------------------------------------
|
|
PUT _ingest/pipeline/azure_openai_embeddings
|
|
{
|
|
"processors": [
|
|
{
|
|
"inference": {
|
|
"model_id": "azure_openai_embeddings", <1>
|
|
"input_output": { <2>
|
|
"input_field": "content",
|
|
"output_field": "content_embedding"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
--------------------------------------------------
|
|
<1> The name of the inference endpoint you created by using the
|
|
<<put-inference-api>>, it's referred to as `inference_id` in that step.
|
|
<2> Configuration object that defines the `input_field` for the {infer} process
|
|
and the `output_field` that will contain the {infer} results.
|
|
|
|
// end::azure-openai[]
|
|
|
|
// tag::azure-ai-studio[]
|
|
|
|
[source,console]
|
|
--------------------------------------------------
|
|
PUT _ingest/pipeline/azure_ai_studio_embeddings
|
|
{
|
|
"processors": [
|
|
{
|
|
"inference": {
|
|
"model_id": "azure_ai_studio_embeddings", <1>
|
|
"input_output": { <2>
|
|
"input_field": "content",
|
|
"output_field": "content_embedding"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
--------------------------------------------------
|
|
<1> The name of the inference endpoint you created by using the
|
|
<<put-inference-api>>, it's referred to as `inference_id` in that step.
|
|
<2> Configuration object that defines the `input_field` for the {infer} process
|
|
and the `output_field` that will contain the {infer} results.
|
|
|
|
// end::azure-ai-studio[]
|
|
|
|
// tag::mistral[]
|
|
|
|
[source,console]
|
|
--------------------------------------------------
|
|
PUT _ingest/pipeline/mistral_embeddings
|
|
{
|
|
"processors": [
|
|
{
|
|
"inference": {
|
|
"model_id": "mistral_embeddings", <1>
|
|
"input_output": { <2>
|
|
"input_field": "content",
|
|
"output_field": "content_embedding"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
--------------------------------------------------
|
|
<1> The name of the inference endpoint you created by using the
|
|
<<put-inference-api>>, it's referred to as `inference_id` in that step.
|
|
<2> Configuration object that defines the `input_field` for the {infer} process
|
|
and the `output_field` that will contain the {infer} results.
|
|
|
|
// end::mistral[]
|