SearchUnify-ML
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README.md
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# SearchUnify
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With its industry-first robust LLM Integrations across its suite of products ([Cognitive Search](https://www.searchunify.com/products/cognitive-search/?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face), [SUVA](https://www.searchunify.com/products/suva/), [Knowbler](https://www.searchunify.com/products/knowbler/?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face), [Escalation Predictor](https://applications.searchunify.com/escalation-predictor?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face), [Agent Helper](https://applications.searchunify.com/agent-helper?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face) and [Community Helper](https://applications.searchunify.com/community-helper?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face)) coupled with the federated retrieval augmented generation (FRAG) architecture, [SearchUnify's unified cognitive platform](https://www.searchunify.com/?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face) fetches relevant information or responses to deliver more accurate and contextually appropriate support and self-service experiences.
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# SearchUnify/xgen-7b-8k-open-instruct-gptq
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With its industry-first robust LLM Integrations across its suite of products ([Cognitive Search](https://www.searchunify.com/products/cognitive-search/?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face), [SUVA](https://www.searchunify.com/products/suva/), [Knowbler](https://www.searchunify.com/products/knowbler/?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face), [Escalation Predictor](https://applications.searchunify.com/escalation-predictor?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face), [Agent Helper](https://applications.searchunify.com/agent-helper?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face) and [Community Helper](https://applications.searchunify.com/community-helper?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face)) coupled with the federated retrieval augmented generation (FRAG) architecture, [SearchUnify's unified cognitive platform](https://www.searchunify.com/?utm_source=link&utm_medium=ml-model&utm_campaign=hugging-face) fetches relevant information or responses to deliver more accurate and contextually appropriate support and self-service experiences.
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