Integrate Google Search into your LLM | LangChain Agents | Web Search | Python | HuggingFace

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  • Опубликовано: 2 дек 2024

Комментарии • 8

  • @stawlike3944
    @stawlike3944 2 месяца назад

    THAT IS AMAZING! THX BRO!

  • @davinhong1
    @davinhong1 3 месяца назад

    Nice tutorial!

  • @speedy-mw8uo
    @speedy-mw8uo 6 месяцев назад +1

    Nice tutorial! Thank you! I will now watch and try your other videos.

    • @eduardov01
      @eduardov01  6 месяцев назад

      I'm glad you liked it. Thank you for the support!

  • @LR-qj5zi
    @LR-qj5zi 5 месяцев назад +1

    Amazing! Thanks

  • @ivgnes
    @ivgnes 5 месяцев назад

    Does any services already provide "Web Search" as a tool via GUI atm? Because it seems only a matter of time before coding this tools will no longer be needed. Like weather forecast tools or similar.

    • @eduardov01
      @eduardov01  5 месяцев назад +1

      The advantage of incorporating this agent into your pipeline is that it allows you to retrieve the latest information that LLMs may not have. For instance, Chat-GPT4 uses Bing search to answer questions about recent events, as the LLM wasn't trained with that data.