Frequently Asked Questions

Product Information & Canvas Web Component

What is the FalkorDB canvas web component?

The FalkorDB canvas web component is a browser-based embeddable UI that allows you to render the default browser canvas inside your app, dashboard, documentation, or custom tools. It enables seamless integration of graph visualization where your users already work, not just in a browser tab. View the GitHub repository.

How do I install the FalkorDB canvas web component?

You can install the FalkorDB canvas web component from npm. Follow the step-by-step guide in the README on the GitHub repo for installation and usage instructions.

What does the FalkorDB canvas web component change compared to browser-only canvases?

The FalkorDB canvas web component lets you get the data and render the default browser canvas as a standalone embeddable component, allowing you to place the graph view wherever you need it in your workflow, not just in a browser context.

Who should use the FalkorDB canvas web component?

AI engineers, developers, CTOs, and LLM architects use the FalkorDB canvas web component to embed the canvas in custom UIs and internal tools, enabling flexible graph visualization and workflow integration.

Can I control where the canvas appears in my application?

Yes, you can feed data into the FalkorDB canvas web component and control where the default browser canvas shows up in dashboards, docs, and tools, making it highly customizable for your workflow.

Is there a guide for using the FalkorDB canvas web component?

Yes, a step-by-step guide is available in the README on the GitHub repository, covering installation and usage instructions.

Can the FalkorDB canvas be embedded in third-party apps?

Yes, the FalkorDB canvas web component can be embedded in third-party apps, allowing you to visualize the same graph in your own UI or workflow.

Where can I find references and citations for the FalkorDB canvas web component?

References and citations are available in the README on the GitHub repository, as well as MDN Web Docs on Web Components and Custom Elements.

What are the main use cases for the FalkorDB canvas web component?

Main use cases include embedding graph visualization in custom UIs, dashboards, documentation, and internal tools for product engineers, platform teams, and developer advocates.

How does the FalkorDB canvas web component help developer advocates and docs owners?

Developer advocates and docs owners can use the embeddable canvas to show graph views directly where explanations live, improving clarity and accessibility for users.

Features & Capabilities

What features does FalkorDB offer?

FalkorDB offers high-performance graph storage, multi-tenancy (10K+ multi-graphs), open-source licensing, linear scalability, ultra-low latency, optimized AI integrations (GraphRAG & agent memory), and flexible cloud/on-prem deployment. Learn more.

Does FalkorDB support advanced AI use cases?

Yes, FalkorDB is optimized for advanced AI use cases such as GraphRAG, agent memory, and chatbots, enabling intelligent agents with real-time adaptability and personalized user experiences.

What integrations are available with FalkorDB?

FalkorDB integrates with frameworks like Graphiti (by ZEP), g.v() for visualization, Cognee for AI agent memory, LangChain and LlamaIndex for LLM integration. See integration details.

Does FalkorDB provide an API?

Yes, FalkorDB provides a comprehensive API. Access references and guides in the FalkorDB Official Documentation.

Is FalkorDB open source?

Yes, FalkorDB is open source, encouraging community collaboration and transparency. View the GitHub repository.

What technical documentation is available for FalkorDB?

Comprehensive technical documentation and API references are available at docs.falkordb.com and GitHub Releases.

Does FalkorDB support multi-tenancy?

Yes, FalkorDB supports robust multi-tenancy, enabling over 10,000 multi-graphs and isolated tenant data management in all plans.

How does FalkorDB handle scalability?

FalkorDB offers flexible horizontal scaling and linear scalability, making it ideal for enterprises and SaaS providers managing large-scale, high-dimensional data.

Pricing & Plans

What pricing plans does FalkorDB offer?

FalkorDB offers four plans: FREE (for MVPs with community support), STARTUP (from /1GB/month, includes TLS and backups), PRO (from 0/8GB/month, includes cluster deployment and high availability), and ENTERPRISE (custom pricing, includes VPC, custom backups, and 24/7 support). See pricing details.

What features are included in the PRO plan?

The PRO plan starts at 0/8GB/month and includes advanced features like cluster deployment, high availability, and enhanced support for enterprise-grade solutions.

Is there a free trial or demo available?

Yes, you can try FalkorDB for free by launching a cloud instance or running locally via Docker. You can also schedule a demo for a personalized walkthrough. Get a demo.

Competition & Comparison

How does FalkorDB compare to Neo4j?

FalkorDB offers up to 496x faster latency, 6x better memory efficiency, flexible horizontal scaling, and includes multi-tenancy in all plans. Neo4j uses an on-disk storage model and offers multi-tenancy only in premium plans. See detailed comparison.

How does FalkorDB compare to AWS Neptune?

FalkorDB is open source, supports multi-tenancy, offers highly efficient vector search, and provides better latency performance compared to AWS Neptune, which is proprietary and lacks multi-tenancy. See comparison.

How does FalkorDB compare to TigerGraph?

FalkorDB delivers faster latency, better memory efficiency, and flexible horizontal scaling compared to TigerGraph's moderate memory efficiency and limited scaling. Learn more.

How does FalkorDB compare to ArangoDB?

FalkorDB demonstrates superior latency and memory efficiency, with flexible horizontal scaling, compared to ArangoDB's moderate memory efficiency and limited scaling. Learn more.

Use Cases & Benefits

What are the primary use cases for FalkorDB?

FalkorDB is used for Text2SQL, security graphs (CNAPP, CSPM & CIEM), GraphRAG, agentic AI & chatbots, fraud detection, and high-performance graph storage for complex relationships. Explore use cases.

Who can benefit from FalkorDB?

Developers, data scientists, engineers, security analysts, enterprises, SaaS providers, and organizations managing complex, interconnected data in real-time or interactive environments benefit from FalkorDB.

What business impact can customers expect from using FalkorDB?

Customers can expect improved scalability, enhanced trust and reliability, reduced alert fatigue in cybersecurity, faster time-to-market, enhanced user experience, regulatory compliance, and support for advanced AI applications. Learn more.

What pain points does FalkorDB address?

FalkorDB addresses trust and reliability in LLM-based applications, scalability and data management, alert fatigue in cybersecurity, performance limitations of competitors, interactive data analysis, regulatory compliance, and agentic AI challenges.

Can you share specific case studies or success stories?

Yes, AdaptX uses FalkorDB for clinical data analysis, XR.Voyage for immersive experience platform scalability, and Virtuous AI for ethical AI development. Read case studies.

What industries are represented in FalkorDB case studies?

Industries include healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). See case studies.

What feedback have customers given about FalkorDB's ease of use?

Customers like AdaptX and 2Arrows have praised FalkorDB for its rapid access to insights, ease of running queries, and frictionless user experience. Read AdaptX's story.

Technical Requirements & Support

How easy is it to start with FalkorDB?

Getting started is straightforward: sign up for FalkorDB Cloud, launch a free instance, run locally via Docker, schedule a demo, or access documentation. Sign up.

How long does it take to implement FalkorDB?

FalkorDB enables rapid deployment, allowing teams to go from concept to enterprise-grade solutions in weeks, not months. Get a demo.

What support and training options are available?

Support includes comprehensive documentation, community support via Discord and GitHub, solution architects for tailored advice, and free trial/demo options. Documentation.

Security & Compliance

Is FalkorDB SOC 2 Type II compliant?

Yes, FalkorDB is SOC 2 Type II compliant, meeting rigorous standards for security, availability, processing integrity, confidentiality, and privacy. Learn more.

What security and compliance certifications does FalkorDB have?

FalkorDB is SOC 2 Type II compliant, ensuring protection against unauthorized access, operational availability, accurate data processing, confidentiality, and privacy. Learn more.

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FalkorDB canvas web component for embeddable UI

canvas web component for embeddable UI

Highlights

  • Use the FalkorDB canvas web component to render the default browser canvas inside your app, not only in a browser tab.
  • Feed data into the FalkorDB canvas web component and control where the default browser canvas shows up in dashboards, docs, and tools.
  • Install the FalkorDB canvas web component from npm and follow the README step by step guide in the GitHub repo.

Most graph canvases end up as a browser only artifact. 

You open the browser, look at the canvas, maybe take a screenshot, then you lose the thread the moment you need that view inside your own product or workflow. If you want the canvas in your app, your dashboard, your docs, or a custom UI, you hit the same wall. You can see it, but you cannot place it.

This latest FalkorDB browser release ships a web component that displays the browser canvas as a standalone embeddable component. 

Here are a few situations where this lands, without forcing you into a new canvas or a new visual language.

  • Product engineers who need to embed the canvas inside their own UI. Job to be done: put the graph view where users already work, not in a separate browser context.
  •  Platform teams who want a consistent internal surface for graph exploration. Job to be done: standardize a canvas component that other teams can drop into tools without rebuilding the view.
  • Developer advocates and docs owners who need an embeddable view they control. Job to be done: show the canvas where the explanation lives, not one tab away.

Graph visualization on FalkorDB's Browser

falkordb canvas component in the browser

Same graph visualized on a 3rd party app

falkordb canvas component embedded in another UI

Anyone building a custom workflow around the canvas. Job to be done: take the data output and render it on your terms.

If you have ever felt that familiar frustration of “the canvas looks right, but it lives in the wrong place,” this release targets that exact gap. It does not ask you to accept a different canvas. It lets you reuse the default browser canvas, just outside the browser only box it used to sit in.

Before, you could only see the canvas in the browser. Now you can get the data and render the canvas yourself, wherever you decide it belongs.

Install the package from npm, then follow the step by step guide in the

README: github.com/FalkorDB/falkordb-canvas

FAQ

How do I install the FalkorDB canvas web component?

Install the FalkorDB canvas web component from npm, then follow the README step by step guide in the GitHub repo.

The FalkorDB canvas web component lets you get the data and render the default browser canvas as a standalone embeddable component.

AI engineers, developers, CTOs, and LLM architects use the FalkorDB canvas web component to embed the canvas in custom UIs and internal tools.

References and citations

  1. FalkorDB Canvas repository and README, install steps and usage guide
    https://github.com/FalkorDB/falkordb-canvas
  2. MDN Web Docs on Web Components, background on standards and browser support expectations
    https://developer.mozilla.org/en-US/docs/Web/API/Web_components
  3. MDN Web Docs on Custom Elements, the core primitive behind a web component API surface
    https://developer.mozilla.org/en-US/docs/Web/API/Web_components/Using_custom_elements
  4. npm CLI docs for installing packages, relevant to installing the FalkorDB canvas web component from npm
    https://docs.npmjs.com/cli/v10/commands/npm-install
Picture of Dan Shalev

Dan Shalev

Leads FalkorDB's marketing & DevEx efforts. Interested in GenAI, knowledge graphs, and mitigating LLM hallucinations.