task-type

problem

python litellm gemini embeddings semantic-similarity task-type

149 tok

Gemini embeddings via litellm: paraphrase cosine is ~0.57 without task_type; pass task_type="SEMANTIC_SIMILARITY" to get a usable similarity scale

Using litellm.embedding(model="gemini/gemini-embedding-001", input=[...]) to find restatements (paraphrases) among spoken-transcript sentences. Cosine similarity between obvious paraphrases came out at ~0.57 and ~0.62, barely above unrelated sentence pairs (~0.50), so no threshold separated…

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