#Extract the idea and question - 000022

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stoic flame
#

For the following text, summarize the idea,
extract meaningful questions and give possible answers.

The following error occurs when trying to switch the embedding model from the default ‘text-embedding-ada-002’ to thr ‘text-embedding-3-large’
Error message: text-embedding-3-large’ is not a valid OpenAIEmbeddingModelType

import openai
from langchain_openai import OpenAI
from llama_index.embeddings import OpenAIEmbedding
from llama_index import ServiceContext
llm = OpenAI()
embed_model = OpenAIEmbedding(
model="text-embedding-3-large",
dimensions=512,

)
service_context = ServiceContext.from_defaults(embed_model=embed_model, llm=OpenAI())
sturdy relicBOT
#

Hi @stoic flame. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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Idea Summary:
The user is trying to switch the embedding model from the default 'text-embedding-ada-002' to 'text-embedding-3-large' in their code. However, they are encountering an error message stating that 'text-embedding-3-large' is not a valid OpenAIEmbeddingModelType.

Extracted Questions and Possible Answers:

  1. Question: Why does the error "text-embedding-3-large’ is not a valid OpenAIEmbeddingModelType" occur when trying to switch the embedding model?
    Possible Answer: The error might be due to the 'text-embedding-3-large' not being recognized as a valid model type in the context of the code. It's possible that the library or function being used does not support this model, or there might be a typo or incorrect string for the model name. However, based on the information provided in the extracts, 'text-embedding-3-large' is indeed a valid model provided by OpenAI (source (https://platform.openai.com/docs/models)).

  2. Question: How can the error be resolved?
    Possible Answer: To resolve the error, you should first ensure that the model name 'text-embedding-3-large' is correctly spelled and formatted. If the error persists, it might be necessary to check the documentation of the libraries being used (like langchain_openai and llama_index) to see if they support this model. If they don't, you might need to update the libraries or find an alternative way to use the 'text-embedding-3-large' model. Unfortunately, the extracts provided do not contain specific information on how to resolve this error.

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  1. Question: What is the 'text-embedding-3-large' model?
    Possible Answer: The 'text-embedding-3-large' model is a powerful third-generation embedding model offered by OpenAI. It is the most capable embedding model for both English and non-English tasks, with an output dimension of 3,072 (source (https://platform.openai.com/docs/models)).

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@stoic flame kapa.ai is still learning and improving, please let us know how it did by reacting below

stoic flame
#

@sturdy relic Check the code for errors, bugs, etc. and report.

sturdy relicBOT
#

Let me check the knowledge base for you. One moment! :books:

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Based on the provided code and the information available in the extracts, it's not possible to perform a comprehensive check for errors or bugs. However, the error message you provided gives some insight:

import openai
from langchain_openai import OpenAI
from llama_index.embeddings import OpenAIEmbedding
from llama_index import ServiceContext

llm = OpenAI()
embed_model = OpenAIEmbedding(
    model="text-embedding-3-large",
    dimensions=512,
)

service_context = ServiceContext.from_defaults(embed_model=embed_model, llm=OpenAI())

The error message "text-embedding-3-large’ is not a valid OpenAIEmbeddingModelType" suggests that the model name 'text-embedding-3-large' is not recognized. This could be due to several reasons:

  1. The model name is misspelled or does not exist. Make sure that the model name is spelled correctly and that the model is available in the version of the OpenAI API you are using.

  2. The libraries langchain_openai and llama_index might not support this model. You should check the documentation or source code of these libraries to see if 'text-embedding-3-large' is a supported model.

  3. There might be a version mismatch between the OpenAI API and the libraries you are using. Make sure that all libraries and the API are up-to-date.

Unfortunately, without more information or access to the relevant documentation or source code, it's not possible to provide a more specific solution.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: