- Move global config files to globals iso global folder, as the name global conflicts with python language
- Creation of Traicie Vancancy Definition specialist - Allow to invoke non-interaction specialists from withing Evie's mgmt interface (eveai_app) - Improvements to crewai specialized classes - Introduction to json editor for showing specialists arguments and results in a better way - Introduction of more complex pagination (adding extra arguments) by adding a global 'get_pagination_html' - Allow follow-up of ChatSession / Specialist execution - Improvement in logging of Specialists (but needs to be finished)
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config/tasks/globals/RAG_TASK/1.0.0.yaml
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config/tasks/globals/RAG_TASK/1.0.0.yaml
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version: "1.0.0"
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name: "RAG Task"
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task_description: >
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Answer the query based on the following context, delimited between triple backquotes, and taking into account
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the history of the discussion, in between triple %. Try not to repeat answers already given in the recent history,
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unless confirmation is required or repetition is essential to give a coherent answer.
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{custom_description}
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Use the following {language} in your communication, and cite the sources used at the end of the full conversation.
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If the question cannot be answered using the given context, answer "I have insufficient information to answer this question."
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Context:
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```{context}```
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History:
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%%%{history}%%%
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Query:
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{query}
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expected_output: >
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metadata:
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author: "Josako"
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date_added: "2025-01-08"
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description: "A Task that gives RAG-based answers"
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changes: "Initial version"
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