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When I use other embedding models instead of nomic-embeded-text, I meet this error:
❌ Errors occurred during the pipeline run, see logs for more details.
Then I found the problem was in graphrag\llm\openai\openai_embeddings_llm.py:
for inp in input: embedding = ollama.embeddings(model="nomic-embeded-text", prompt=inp) embedding_list.append(embedding["embedding"])
The model name "nomic-embed-text" is hardcoded in the class.
The text was updated successfully, but these errors were encountered:
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When I use other embedding models instead of nomic-embeded-text, I meet this error:
Then I found the problem was in graphrag\llm\openai\openai_embeddings_llm.py:
The model name "nomic-embed-text" is hardcoded in the class.
The text was updated successfully, but these errors were encountered: