InfraNodus Knowledge Graphs & Text Analysis

Name: InfraNodus Knowledge Graphs & Text Analysis
Author: infranodus

Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents.

От сообществаРаботаетБез входаГлобальныйБесплатноМожет изменять данные

Что умеет

Generate Knowledge Graph: Generate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structural gaps. Only use when explicitly asked to analyze a t
Create Knowledge Graph: Create a knowledge graph in InfraNodus from text or from a URL, save it, and provide its name and a link to it for future use.
Memory Add Relations: Add relations to the InfraNodus memory from text, save it, and provide its name and a link to it for future use.

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Map text into knowledge graphs to create a structured representation of conceptual relations and topical clusters in your documents. Detect content gaps between the topical clusters and generate research questions to drive research and content creation using the powerful Graph RAG technology underpinning InfraNodus. Get additional insights about texts: main topics, keywords, and underlying themes. Connect to your existing InfraNodus graphs or create new ones to enrich analysis and outputs.

Список инструментов сервера (28)

Технические названия из tools/list. Нужны только разработчикам.

generate_knowledge_graph	Generate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structural gaps. Only use when explicitly asked to analyze a text or generate a knowledge graph. Do not use for short clarifying questions that you already have an answer to from the context of the conversation.
create_knowledge_graph	Create a knowledge graph in InfraNodus from text or from a URL, save it, and provide its name and a link to it for future use.
memory_add_relations	Add relations to the InfraNodus memory from text, save it, and provide its name and a link to it for future use.
memory_get_relations	Provide a list of relations from the InfraNodus memory for a given concept or entity
analyze_existing_graph_by_name	Extract and analyze the content of an existing InfraNodus graph from your account.
analyze_text	Extract and analyze a graph from text, URL, YouTube video transcript, or an existing InfraNodus graph.
generate_content_gaps	Generate content gaps from text, URL, or an existing graph using knowledge graph analysis.
generate_topical_clusters	Generate topics and clusters of keywords from text, URL, or an existing graph using knowledge graph analysis.
generate_research_questions	Analyze text or an existing graph and generate innovative research questions based on the content gaps identified between the topical clusters. Provide either text, url, or graphName. Can be used to improve the text and the discourse it relates to
generate_research_ideas	Analyze text or an existing graph and generate innovative research ideas based on the content gaps identified between the topical clusters inside the text that can be used to improve the text and the discourse it relates to.
optimize_text_structure	Analyze the level of bias and coherence in text. If it's too biased, develop the represented topics, if it's focused or diversified, develop the content gaps. If it's dispersed, focus the most common gap topics.
generate_responses_from_graph	Use text, URL, or an existing InfraNodus knowledge graph and generate responses and expert advice based on a prompt provided.
develop_conceptual_bridges	Analyze text or an existing graph and get ideas on how to develop conceptual bridges in this text to link it to a broader discourse. Provide either text, url, or graphName.
develop_latent_topics	Analyze text or an existing graph, extract underdeveloped topics and get an idea on how to develop them. Provide either text, url, or graphName.
develop_text_tool	Analyze text or an existing graph to extract research questions, develop latent topics, and identify content gaps in a single workflow with progress tracking. Provide either text, url, or graphName.
generate_contextual_hint	Generate information about the main topics and concepts in a text to augment RAG retrieval and text analysis.
overlap_between_texts	Extract the common relationships and similarities between texts and generate an overlap graph
merged_graph_from_texts	Build a graph of all the texts, URLs, and existing InfraNodus graphs provided, providing topical clusters and gaps present in the merged graph generated from all the texts.
difference_between_texts	Extract the conceptial relations that are missing in the first text, url, or InfraNodus graph but are present in the other texts
analyze_google_search_results	Generate a knowledge graph and topical clusters from Google search results for provided search queries
analyze_related_search_queries	Generate a knowledge graph and identifymain topical clusters in the search requests related to the search queries provided
search_queries_vs_search_results	Find the combinations of keywords and topics people search for that don't appear in the search results for the same queries
generate_seo_report	Analyze content for SEO optimization by comparing its knowledge graph with the graphs of Google search results and search queries to identify content gaps and opportunities based on the differences
retrieve_from_knowledge_base	Retrieve the statements and general overview of an existing InfraNodus knowledge graph based on the user's prompt for GraphRAG based retrieval.
list_graphs	List all graphs (contexts) for the currently logged in user with optional filtering by name, type, date, language, or favorite status. Use this to discover available graphs before analyzing or searching them.
search	Find the concepts and terms in existing InfraNodus graphs
fetch	Fetch a specific search result for an InfraNodus knowledge graph
get_more_tools	Check for additional tools whenever your task might benefit from specialized capabilities - even if existing tools could work as a fallback.