# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
msgid ""
msgstr ""
"Project-Id-Version: Xinference\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-12-25 17:11+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: it <LL@li.org>\n"
"Language: it\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=2; plural=(n != 1);\n"
"Generated-By: Babel 2.18.0\n"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:5
msgid "Example: LangChain Streamlit Doc Chat📄"
msgstr "Esempio: Documentazione LangChain Streamlit per Chat 📄"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:7
msgid "**Description**:"
msgstr "**Descrizione**:"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:9
msgid ""
"This Streamlit-based application demonstrates a AI chatbot powered by local "
"LLM and embedding models"
msgstr ""
"Questa applicazione basata su Streamlit dimostra un chatbot AI alimentato da"
" modelli LLM locali e di embedding."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:11
msgid "**Used Technology**:"
msgstr "**Tecnologie coinvolte**:"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:13
msgid ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_: as the LLM and "
"embedding model hosting service"
msgstr ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_: Servizio di "
"hosting per modelli LLM e di embedding"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:15
msgid ""
"@ `LangChain <https://github.com/run-llama/llama_index>`_: orchestrates the "
"entire document processing and query answering pipeline"
msgstr ""
"@ `LangChain <https://github.com/run-llama/llama_index>`_: orchestra "
"l'intero flusso di elaborazione dei documenti e di risposta alle query."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:17
msgid "@ `Streamlit <https://streamlit.io/>`_: for interactive user interface"
msgstr ""
"@ `Streamlit <https://streamlit.io/>`_: per interfacce utente interattive"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:19
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**Spiegazione dettagliata delle funzionalità dimostrative**:"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:21
msgid "Streamlit UI for uploading text files, enhancing user interaction."
msgstr ""
"Interfaccia utente Streamlit per caricare file di testo, migliorando "
"l'interazione con l'utente."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:23
msgid ""
"Texts are split into chunks and embedded using Xinference for efficient "
"processing."
msgstr ""
"Il testo viene suddiviso in blocchi e sottoposto a operazioni di embedding "
"utilizzando Xinference, al fine di realizzare un'elaborazione efficiente."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:25
msgid ""
"Executes similarity searches on embedded texts to pinpoint relevant sections"
" for user queries."
msgstr ""
"Esegui una ricerca di similarità sul testo incorporato per individuare con "
"precisione le parti rilevanti della richiesta dell'utente."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:27
msgid "Utilizes a structured prompt template for focused LLM interactions."
msgstr ""
"Utilizzare modelli di prompt strutturati per interagire con il modello LLM."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:29
msgid ""
"Xinference's LLM processes queries within the context of relevant document "
"parts, providing accurate responses."
msgstr ""
"Xinference gestisce le query nel contesto della sezione della documentazione"
" correlata per LLM, fornendo risposte accurate."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:31
msgid ""
"The system facilitates effective and context-sensitive document exploration,"
" aiding users in information retrieval."
msgstr ""
"Il sistema implementa una ricerca documentale efficace e sensibile al "
"contesto, aiutando gli utenti a effettuare un recupero efficiente delle "
"informazioni."

#: ../../source/examples/langchain_streamlit_doc_chat.rst:33
msgid "**Source Code** :"
msgstr "**Codice sorgente**:"

#: ../../source/examples/langchain_streamlit_doc_chat.rst:34
msgid ""
"`LangChain Streamlit Doc Chat "
"<https://github.com/xorbitsai/inference/blob/main/examples/LangChain_Streamlit_Doc_Chat.py>`_"
msgstr ""
