kernelBuilder.AddAzureOpenAITextEmbeddingGeneration("ada-002", "https://my-service.openai.azure.com", "my_token"); // Register text search service. kernelBuilder.AddVectorStoreTextSearch<Hotel>(); // Register Elasticsearch vector store. var elas...
models are supported for this evaluator: text-embedding3-small text-embedding3-large text-embeddingada-002 Customprompt Uses themodel to classify the output into a set of specified labels. This evaluatoruses a custom prompt that you'll need to define. 反馈 ...
This section demonstrates how to create the following indexes on the fields in the sample_mflix.embedded_movies collection: An Atlas Vector Search index on the plot_embedding field for running vector queries against that field. An Atlas Search index on the title field for running full-text search...
deployment_id ="text-embedding-ada-002"# set deployment_name as text-embedding-ada-002embeddings = openai.Embedding.create(deployment_id=deployment_id, input="The food was delicious and the waiter...") print(embeddings) 输出 { "object": "list", "data": [ { "object": "embedding", "ind...
This index definition indexes the plot_embedding field as the vector type with automatic binary quantization enabled and the genres field as the filter type in an Atlas Vector Search index. The plot_embedding field contains embeddings created using OpenAI's text-embedding-ada-002 embeddings model. ...
Dataset Preparation:Extract embeddings from the course content, such as PDFs, videos, and transcripts, using a pre-trained model such asOpenAI’s text-embedding-ada-002. Record these embeddings and metadata (e.g,. course title, topic) in a vector database for faster search. ...
In this section, we will use the line OpenAI embedding model called “text-embedding-ada-002” to convert text into embedding. After creating the OpenAI embedding function, you can add the list of text documents to generate embeddings.
use_azure_ad=False, ) embed_model = AzureOpenAIEmbedding( model="text-embedding-ada-002", deployment_name="EMBEDDING_DEPLOYMENT_NAME", api_key=api_key, azure_endpoint=azure_endpoint, api_version=embed_api_version, ) llama_debug = LlamaDebugHandler(print_trace_on_end=True) callback_manager ...
Finally, Babbage and Ada models are ideal for straightforward tasks that don’t require complex reasoning. Babbage and Ada are also the fastest and least expensive. Codex The Codex models are good at text-to-code generation, code editing, and code insertion. OpenAI currently offers two Codex mo...
NOTE: Make sure to select a region where Azure OpenAI Service (AOAI) supports both GPT-3.5/GPT-4 models like gpt-35-turbo-16k and Embeddings models like text-embedding-ada-002. OpenAI Module The following table contains the code from the terraform/infra/modules/openai/main.tf Terraform modul...