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Generate embeddings from a model.

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LLM Response
[[0.010000081, -0.0017487297, 0.050126992, 0.04694895, 0.055186987, 0.008570699, 0.10545243, -0.02591801, 0.1296789, 0.031844463, -0.044533115, -0.009081162, -4.7557743E-4, -0.06383077, -0.016083026, 0.04666039, -0.022107942, -0.15835331, -0.07281923, -0.061205965, -0.06593526, 0.054214016, -0.062174935, 0.038974375, -0.04570855, 0.05495598, -0.035383187, 0.012725615, 0.04252694, -0.00806814, -0.019041134, 0.061063103, 0.036943648, 0.013529706, -0.025880618, -0.04349401, 0.07276639, -0.048439376, 0.004148429, -0.029453786, -0.029147545, -0.03282039, -0.018276647, 0.0155515345, -0.011599436, 0.015321048, -0.009423502, 0.02589781, 0.095306225, -0.015580891, -0.024553236, 0.009203469, -0.07652067, 0.01593109, 0.049590923, 0.11590031, 9.564879E-4, -0.020308463, 0.09234688, 0.008461708, -0.057039093, 0.06883451, -0.07657848, 0.06934012, 0.09227977, -0.055535857, -0.05371766, 0.008418901, -0.06311155, -0.066414595, -0.025158273, 0.018782357, 0.061182138, -0.028296644, 0.0362281, 0.001123205, 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You could also use the OllamaEmbedRequestModel to specify the options such as seed, temperature, etc., to apply for generating embeddings.

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You will get a response similar to:

LLM Response
[[0.010000081, -0.0017487297, 0.050126992, 0.04694895, 0.055186987, 0.008570699, 0.10545243, -0.02591801, 0.1296789, 0.031844463, -0.044533115, -0.009081162, -4.7557743E-4, -0.06383077, -0.016083026, 0.04666039, -0.022107942, -0.15835331, -0.07281923, -0.061205965, -0.06593526, 0.054214016, -0.062174935, 0.038974375, -0.04570855, 0.05495598, -0.035383187, 0.012725615, 0.04252694, -0.00806814, -0.019041134, 0.061063103, 0.036943648, 0.013529706, -0.025880618, -0.04349401, 0.07276639, -0.048439376, 0.004148429, -0.029453786, -0.029147545, -0.03282039, -0.018276647, 0.0155515345, -0.011599436, 0.015321048, -0.009423502, 0.02589781, 0.095306225, -0.015580891, -0.024553236, 0.009203469, -0.07652067, 0.01593109, 0.049590923, 0.11590031, 9.564879E-4, -0.020308463, 0.09234688, 0.008461708, -0.057039093, 0.06883451, -0.07657848, 0.06934012, 0.09227977, -0.055535857, -0.05371766, 0.008418901, -0.06311155, -0.066414595, -0.025158273, 0.018782357, 0.061182138, -0.028296644, 0.0362281, 0.001123205, 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Using generateEmbeddings()​

NOTE

This is a deprecated API

Loading code...

You will get a response similar to:

LLM Response
 [
    0.5670403838157654,
    0.009260174818336964,
    0.23178744316101074,
    -0.2916173040866852,
    -0.8924556970596313
]