{"id":2930,"date":"2024-06-12T14:13:45","date_gmt":"2024-06-12T14:13:45","guid":{"rendered":"https:\/\/justadd.ai\/?page_id=2930"},"modified":"2024-06-18T07:03:32","modified_gmt":"2024-06-18T07:03:32","slug":"knowledge-management","status":"publish","type":"page","link":"https:\/\/justadd.ai\/en\/knowledge-management\/","title":{"rendered":"Knowledge Management"},"content":{"rendered":"[vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#0a0a0a” full_height=”yes” columns_placement=”top” mouse_based_parallax_bg=”true” scene_position=”center” mouse_sensitivity=”5″ layer_one_image=”1996″ top_padding=”50″ bottom_padding=”75″ text_color=”light” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” color_overlay=”#000000″ overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column top_padding_desktop=”30″ bottom_padding_desktop=”20″ column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” font_color=”#ffffff” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” top_padding=”17vh” bottom_padding=”0″ top_padding_phone=”5vh” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”left” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”hidden” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_column_text]\n

Knowledge Management<\/h1>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bottom_padding=”25″ text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all” class=”intro_text”][vc_column_inner column_padding=”padding-4-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”right” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”7\/12″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][nectar_responsive_text font_size_desktop=”1.2em”]With our solutions, we extract important information from large unstructured data (e.g., scans, photos, PDFs, emails) and provide it in a structured, searchable database. Using semantic AI search, this information can be efficiently queried, meaning you don’t need to know the exact search term to find relevant results. 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bg_color=”” link_color=”#ffffff”][page_link link_url=”\/en\/contact” title=”Contact us now” id=”1718694203063-7″ tab_id=”1718694203063-8″] [\/page_link][\/page_submenu][vc_row_inner equal_height=”yes” content_placement=”middle” disable_element=”yes” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bottom_padding=”25″ text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”padding-4-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”right” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” 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Semantic Product Search<\/h3>\n

A good search function is essential in e-commerce, especially with millions of items, often imprecise queries and incomplete product data. The AI behind our semantic search comprehends queries contextually – even in specialized B2B sectors – and finds the correct items quickly and reliably. It learns from past interactions, allowing it to handle missing information effortlessly.[\/vc_column_text][\/vc_column_inner][vc_column_inner bottom_padding_desktop=”20″ left_padding_desktop=”20″ right_padding_desktop=”50px” top_padding_tablet=”50px” bottom_padding_tablet=”50px” left_padding_tablet=”0″ right_padding_tablet=”0″ top_margin=”80″ left_margin=”-20px” top_margin_tablet=”0″ right_margin_tablet=”4vw” top_margin_phone=”0″ column_element_direction_desktop=”default” column_element_spacing=”50px” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” el_class=”teaserkachel” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”fade-in-from-right” animation_easing=”default” bg_image_animation=”none” border_type=”advanced” column_border_color=”#ffffff” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_column_text css=”.vc_custom_1718618420450{margin-top: -8px !important;padding-bottom: 20px !important;padding-left: 20px !important;}”]\n

Archive Digitization<\/h3>\n

For a health insurance company, we converted an archive containing millions of documents into searchable PDF\/A documents and indexed them. The archive had grown over many years and included numerous scans and fax files, as well as various outdated file formats and some password-protected files. Together with the insurance company, we developed a conversion platform and tested it with a multitude of cases. Now, the entire archive can be quickly searched by keywords using an indexing search.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner equal_height=”yes” content_placement=”top” column_margin=”none” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” top_padding=”40″ text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” top_position_desktop=”80″ bottom_position_desktop=”40″ overflow=”visible” pointer_events=”all” class=”teaserkacheln_wrap”][vc_column_inner right_padding_desktop=”70″ bottom_padding_tablet=”50px” left_padding_tablet=”0″ right_padding_tablet=”0″ left_margin_tablet=”-20px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”left” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” el_class=”teaserkachel” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”slight-fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”advanced” column_border_color=”#ffffff” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_column_text css=”.vc_custom_1718618440625{margin-top: -8px !important;padding-bottom: 20px !important;padding-left: 20px !important;}”]\n

Geodata Twin<\/h3>\n

For LGV Hamburg, we developed an AI software that scans websites, emails, and official announcements for relevant changes in the Hamburg area. It understands and localizes these changes to keep a digital geodata twin of the city up to date.[\/vc_column_text][\/vc_column_inner][vc_column_inner bottom_padding_desktop=”20″ left_padding_desktop=”20″ right_padding_desktop=”50px” top_padding_tablet=”50px” bottom_padding_tablet=”50px” left_padding_tablet=”0″ right_padding_tablet=”0″ left_margin=”-20″ column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” el_class=”teaserkachel” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/2″ tablet_width_inherit=”default” animation_type=”default” enable_animation=”true” animation=”slight-fade-in-from-bottom” animation_easing=”default” bg_image_animation=”none” border_type=”advanced” column_border_color=”#ffffff” column_border_style=”solid” column_padding_type=”advanced” gradient_type=”default”][vc_column_text css=”.vc_custom_1718618463343{padding-bottom: 20px !important;padding-left: 20px !important;}”]\n

Internal FAQ bots & corporate Assistants<\/h3>\n

Many companies have extensive collections of texts, expertise, templates, and how-to articles, which can be difficult for new employees to locate. Using Retrieval Augmented Generation (RAG), these resources can be quickly and easily accessed through a chat interface. This approach creates a personalized GPT model that can answer company-related questions by referring to reliable sources. 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