Plugin Parameters
See plugin common configurations for configuration options available to all plugins.
embeddings_provider
object
required
Embedding model provider configurations.
azure_openai
object
required
Azure OpenAI embedding model configurations.
endpoint
string
required
Azure OpenAI embedding model endpoint.
api_key
string
required
Azure OpenAI API key.
vector_search_provider
object
required
Vector search provider configurations.
azure_ai_search
object
required
Configurations of Azure AI Search.
endpoint
string
Azure AI Search endpoint.
api_key
string
Azure AI Search API key.
Request Body Parameters
The request body should follow the below configurations.
ai_rag
object
required
Request body RAG specifications.
embeddings
object
required
Embedding specifications.
The following parameters are available if you are working with Azure OpenAI.
input
string
required
Input prompt to the LLM, which will be used to compute embeddings and generate a RAG-enhanced response.
user
string
A unique identifier representing your end user, which helps in monitoring and detecting abuse.
encoding_format
string
default:
floatvaild vaule:
floatorbase64Data type of the returned embeddings.
dimensions
integer
Dimensions limit of the embedding model used to output the vectors. It should match the dimension of your embedding model. For instance, the dimensions for
text-embedding-ada-002are fixed at 1536. Fortext-embedding-3-smallortext-embedding-3-large, dimensions range from 1 to 1536 and 3072, respectively.
vector_search
object
required
Vector search specifications.
The following parameter is available if you are working with Azure AI Search. In addition, these parameters are also supported.
fields
string
required
Fields for the vector search.