Translations:FACTS About Building Retrieval Augmented Generation-based Chatbots/15/en: Difference between revisions

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* '''NVInfo Bot''' answers questions about enterprise content (approx. 500M documents of size ≈ 7 TB), complementing intranet search. It manages diverse data formats and enforces document access controls. The tech stack includes LangChain, a vendor vector database for retrieval and to handle document access controls, LLM model (multiple LLM models can be selected), and a custom web-UI.

NVInfo Bot answers questions about enterprise content (approx. 500M documents of size ≈ 7 TB), complementing intranet search. It manages diverse data formats and enforces document access controls. The tech stack includes LangChain, a vendor vector database for retrieval and to handle document access controls, LLM model (multiple LLM models can be selected), and a custom web-UI.