Migrate from /api/embedding to /api/embed#115
Merged
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https://ollama.com/blog/embedding-models /embeddings is depreciated ollama/ollama#9742 Update embed_ollama.go Fixed endpoint change. It's now called embeddings. curl http://localhost:11434/api/embed -d '{ "model": "qwen3:0.6b", "input": "CLEVELAND CLINICFind a Doctor and Specialists<SEP>High-Risk Pregnancy Care<SEP>Cleveland Clinic High-Risk Pregnancy Care<SEP>Make an Appointment<SEP>Consult with a maternal-fetal medicine specialist<SEP>Labor Induction<SEP>Cesarean Delivery<SEP>High-Risk Pregnancy Care <https://my.clevelandclinic.org/services/high-risk-pregnancy-care><SEP>Cleveland Clinic: High-Risk Pregnancy Care <https://my.clevelandclinic.org/webappointment><SEP>It’s important to talk to your pregnancy care provider about your risks for these complications.<SEP>Diagnosis and Tests: How is high-risk pregnancy diagnosed and monitored?<SEP>Management and Treatment: What is the treatment for a high-risk pregnancy?<SEP>Care at Cleveland Clinic: High-Risk Pregnancy Care <https://my.clevelandclinic.org/webappointment><SEP>Outlook / Prognosis: What’s the prognosis (outlook) for people with high-risk pregnancy?<SEP>Can you still work with a high-risk pregnancy?" }' 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Update embed_ollama.go Change from prompt to input {"model":"qwen3:0.6b","embeddings":[]} time=2025-07-18T15:47:35.939-04:00 level=INFO msg="Done call LLM" package=golightrag function=Insert entities=6 relationships=6 {"model":"qwen3:0.6b","embeddings":[]} time=2025-07-18T15:47:56.500-04:00 level=INFO msg="Done call LLM" package=golightrag function=Insert entities=2 relationships=2 {"model":"qwen3:0.6b","embeddings":[]} time=2025-07-18T15:48:26.555-04:00 level=INFO msg="Done call LLM" package=golightrag function=Insert entities=1 relationships=1 {"model":"qwen3:0.6b","embeddings":[]}
match ollama api https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings curl http://localhost:11434/api/embed -d '{ "model": "all-minilm", "input": "Why is the sky blue?" }' Response { "model": "all-minilm", "embeddings": [[ 0.010071029, -0.0017594862, 0.05007221, 0.04692972, 0.054916814, 0.008599704, 0.105441414, -0.025878139, 0.12958129, 0.031952348 ]], "total_duration": 14143917, "load_duration": 1019500, "prompt_eval_count": 8 } Request (Multiple input) curl http://localhost:11434/api/embed -d '{ "model": "all-minilm", "input": ["Why is the sky blue?", "Why is the grass green?"] }' Response { "model": "all-minilm", "embeddings": [[ 0.010071029, -0.0017594862, 0.05007221, 0.04692972, 0.054916814, 0.008599704, 0.105441414, -0.025878139, 0.12958129, 0.031952348 ],[ -0.0098027075, 0.06042469, 0.025257962, -0.006364387, 0.07272725, 0.017194884, 0.09032035, -0.051705178, 0.09951512, 0.09072481 ]] }
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Alternate solution https://github.com/ollama/ollama/releases?q=%2Fapi%2Fembedding&expanded=true
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Awesome! I had this on my TODO for a while, but never got around to implement it. But I think you need to adapt the test accordingly, as it's currently starting a server and mocking a response of the OpenAI-compatible endpoint. |
go test ./embed_ollama_test.go:55:4: unknown field Embedding in struct literal of type ollamaResponse
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I fixed the ollama test, but I do not know about the opanai compatible test. |
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philippgille
approved these changes
Jul 20, 2025
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I fixed the ollama test
Perfect, thanks a lot!
I do not know about the opanai compatible test.
I just meant that the Ollama test set up a server that acted like Ollama's OpenAI-compatible endpoint. So your latest commit fixed that 👍
The embed_openai_test.go is unrelated and can stay as is.
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Migrated from /api/embedding to /api/embed
ollama/ollama#5127
https://ollama.com/blog/embedding-models