Does a RAG assistant always respond correctly?
No. AI models can make mistakes. That's why it's important to design information retrieval well, limit the available sources, and, when necessary, show the references used to generate the answer.
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Can the assistant be integrated into a website or application?
Yes. It can be incorporated into a website, intranet, internal application, or any system from which integration can be performed.
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Is it necessary to train an Artificial Intelligence model from scratch?
Generally not. A RAG system allows the use of existing models and provides them with the necessary information for each query, which is usually much faster and cheaper.
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What type of documents can you consult?
Depending on the system, you can work with PDFs, Word documents, technical documentation, web pages, databases, and other sources of information.
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Can I have a chatbot that responds using my own documents?
Yes. You can create an assistant capable of searching for information within authorized documents and using it to formulate its responses.
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What is a RAG system?
RAG stands for Retrieval-Augmented Generation. It allows an AI model to query specific information before responding, such as company documentation, manuals, procedures, or knowledge bases.
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