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3 best AI Knowledge Graph tools recommended

Recall
Recall

Recall AI summarizes web pages, connects ideas, and schedules review.

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What is Recall AI

Recall AI is an AI-powered assistant that helps you remember what you read online. It automatically summarizes articles and pages, connects ideas across sources in a dynamic knowledge graph, and resurfaces key points on a schedule tuned to your learning curve. By turning scattered tabs and notes into a self-organizing personal knowledge base, it reduces information overload and strengthens long-term retention. Over time, Recall AI adapts to your interests and behavior, acting like a personal AI encyclopedia that gets smarter the more you use it.

Recall AI Key Features

  • AI summarization: Distills long-form online content into concise takeaways to accelerate comprehension and review.
  • Knowledge graph connections: Links topics, entities, and sources to reveal relationships and patterns across your reading.
  • Spaced repetition resurfacing: Schedules reviews based on your learning curve to strengthen long-term recall.
  • Self-organizing knowledge base: Automatically groups related material, reducing the need for manual tagging and folders.
  • Contextual recall: When you revisit a topic, it resurfaces related notes and summaries for deeper context.
  • Feedback loop: Edit or confirm summaries and connections so the system improves with continued use.
Connected Papers
Connected Papers

Explore digital intimacy with AI companions; scenes, RP, and visuals.

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What is Connected Papers AI

Connected Papers AI is a visual literature discovery tool that helps researchers and applied scientists map a research field and quickly surface relevant academic papers. Built on the expansive Semantic Scholar corpus, it generates an interactive graph that highlights closely related works using signals such as co-citation and bibliographic coupling. With bi-directional exploration, you can trace both prior art and derivative research, identify influential papers, and understand relationships across subdomains. It reduces blind spots in literature reviews and accelerates onboarding to new topics.

Connected Papers AI Key Features

  • Interactive research graph: Visualize a literature landscape and see how papers are connected through shared references and readership patterns.
  • Bi-directional exploration: Discover both prior and derivative works to follow the evolution of ideas backward and forward.
  • Field overview and clustering: Spot clusters, subtopics, and bridges between areas to understand domain structure at a glance.
  • Relevance and influence cues: Surface popular or foundational papers to anchor a literature review.
  • Paper detail context: Open nodes to view abstracts and metadata, then jump out to source pages for full texts where available.
  • Refinement tools: Start from one or multiple seeds to focus the graph and triangulate related literature.
  • Saving and sharing: Keep graphs for later, share them with collaborators, or export snapshots for documentation.
Writer
Writer

AI video editor for all levels: smart cuts, enhance, rich assets.

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What is Writer AI

Writer AI is an enterprise AI writing and agent platform that helps teams produce clear, consistent, on-brand content and deploy domain-aware AI agents. It brings IT and business together with an end-to-end agent builder that lets you design, activate, and supervise agents grounded in your company’s knowledge. Powered by Palmyra LLMs, a governance-ready Knowledge Graph, and AI Studio, Writer AI supports content generation, summarization, and workflow automation while preserving brand voice, policy compliance, and measurable ROI for real business impact.

Writer AI Features

  • End-to-end agent builder: Design task-specific, supervised AI agents with goals, tools, guardrails, and review steps that align with business policies.
  • Palmyra LLMs: Enterprise-optimized language models offering controllability, quality, and performance for writing, reasoning, and automation.
  • Knowledge Graph grounding: Ingest documents and structured data to ground outputs, reduce hallucinations, and provide context-aware answers.
  • AI Studio: Rapidly prototype prompts and workflows, run evaluations, and iterate with telemetry to improve reliability.
  • Brand voice and style: Enforce terminology, tone, and inclusive language for consistent, on-brand content across teams.
  • Workflow and integrations: Connect to existing systems via APIs and connectors to automate content and operations.
  • Governance and oversight: Role-based permissions, policies, and auditability to meet enterprise governance needs.
  • Collaboration at scale: Shared templates, review flows, and versioned assets to align writers, reviewers, and stakeholders.

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