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README.md
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@@ -54,7 +54,7 @@ BTW the embedder-model is only a part of a good RAG (Retrieval-Augmented Generat
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</ul>
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Working well, all other its up to you! Some models are very similar! (jina and qwen based you can add manual to LM-Studio, set model "gear wheel" below "overide domain type")<br>
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With the same setting, these embedders found same 6-7 snippets out of 10 from a book. This means that only 3-4 snippets were different, but I didn't test it extensively.<br>
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Further tests have shown that the following models are suitable for complex tasks (German-text, but should be similar in English). Jina-DE, nomic was not that good. I'm not convinced by large models such as Qwen or
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<ul style="line-height: 1.05;">
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<li>GTE large</li>
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<li>cross-en-de-es-roberta</li>
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</ul>
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Working well, all other its up to you! Some models are very similar! (jina and qwen based you can add manual to LM-Studio, set model "gear wheel" below "overide domain type")<br>
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| 56 |
With the same setting, these embedders found same 6-7 snippets out of 10 from a book. This means that only 3-4 snippets were different, but I didn't test it extensively.<br>
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Further tests have shown that the following models are suitable for complex tasks (German-text, but should be similar in English). Jina-DE, nomic was not that good. I'm not convinced by large models such as Qwen or JinaaiV3 and V4 doesnt work with LM studio; they are ten times slower and the result is not ten times better. Despite all this, you can recognize tables and some images.
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<ul style="line-height: 1.05;">
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<li>GTE large</li>
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<li>cross-en-de-es-roberta</li>
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