What are the latest features introduced in the FalkorDB Browser as of April 2026?

The April 2026 FalkorDB Browser update introduces several productivity enhancements for GraphRAG and agentic AI developers:

• Favorite Queries: Save and quickly access frequently used Cypher queries, reducing repetitive typing during LLM agent development.
• Connection Endpoint: Instantly copy database connection strings for standalone, HA Sentinel, or Cluster modes, streamlining deployment and debugging.
• Enhanced Graph Statistics: The Graph Info panel now displays which node labels or edge types have the most records, helping you spot dense graph areas without running extra queries.
• Query Result Table View: Switch between row-based and column-based layouts for query results, and expand all columns at once for easier data exploration.

How do Favorite Queries work in the FalkorDB Browser?

Favorite Queries allow you to mark queries as favorites in the Query History panel by clicking the star icon next to a query. You can then use the RUN button dropdown to quickly select and execute a favorite query, saving time during repetitive GraphRAG testing and development.

What is the Connection Endpoint feature in the FalkorDB Browser?

The Connection Endpoint feature provides a button in the browser UI that lets you copy the connection string for your FalkorDB instance. It supports standalone, HA with Sentinel, and Cluster modes, making it easier to connect drivers and deploy applications.

How does the Graph Info Panel Statistics help with data exploration?

The Graph Info panel now shows which node labels or edge types have the most records. By hovering over the bar, you can see the exact count, helping you identify dense areas of your graph without running additional queries—improving efficiency in GraphRAG pipelines.

What customization options are available in the Query Result Table View?

In the FalkorDB Browser, you can switch between row-based and column-based layouts for query results via Settings > User Experience > Query Results Table View Preferences. You can also expand all columns at once by clicking the index column, making it easier to analyze large result sets.

How do these browser updates benefit GraphRAG and agentic AI developers?

The new features streamline repetitive tasks, simplify connection management, and provide rapid insights into graph structure and query results. This improves developer productivity, reduces errors, and accelerates the development of graph-powered AI agents and pipelines.

Where can I launch a free FalkorDB Browser instance?

You can launch a free FalkorDB Browser instance directly from the FalkorDB GitHub repository.

Is there documentation for the FalkorDB Browser and its features?

Yes, comprehensive documentation for FalkorDB and its browser features is available at docs.falkordb.com.

How can I contact a FalkorDB engineer for support or questions?

You can contact a FalkorDB engineer for personalized support or to discuss your workload by visiting the Contact Us page.

What open-source projects are related to the FalkorDB Browser?

Related open-source projects include the GraphRAG-SDK and FalkorDB Browser for graph visualization.

How do I subscribe to updates about FalkorDB Browser releases?

You can subscribe to the FalkorDB newsletter for the latest news, articles, and resources by signing up on the website's newsletter section.

What is the best way to get started with the FalkorDB Browser for GraphRAG development?

The best way to get started is to launch a free browser instance from GitHub, review the official documentation, and explore tutorials and blog posts on the FalkorDB website.

Does the FalkorDB Browser support multi-tenant environments?

Yes, FalkorDB is designed for multi-tenant environments and supports over 10,000 multi-graphs, making it suitable for SaaS providers and enterprises.

Can I use the FalkorDB Browser for security graph and agentic AI use cases?

Yes, the FalkorDB Browser is optimized for use cases such as security graphs (CNAPP, CSPM, CIEM) and agentic AI, enabling rapid analysis and development of intelligent agents.

What programming languages and frameworks are supported for integration with FalkorDB?

FalkorDB integrates with frameworks such as Graphiti (by ZEP), g.v(), Cognee, LangChain, and LlamaIndex, supporting a wide range of AI and graph visualization workflows. For more details, see the official documentation.

Is the FalkorDB Browser open source?

Yes, the FalkorDB Browser is open source, encouraging community collaboration and transparency. You can find the source code on GitHub.

How do I report issues or request features for the FalkorDB Browser?

You can report issues or request features by opening an issue on the FalkorDB Browser GitHub repository.

Are there community channels for FalkorDB Browser users?

Yes, you can join the FalkorDB community on Discord and participate in discussions on GitHub.

Who maintains the FalkorDB Browser?

The FalkorDB Browser is maintained by the FalkorDB team, led by experts in graph databases, GenAI, and developer experience. For more information, visit the company page.

What are the key features of FalkorDB?

FalkorDB offers ultra-low latency (up to 496x faster than Neo4j), 6x better memory efficiency, support for 10,000+ multi-graphs, open-source licensing, linear scalability, advanced AI integration (GraphRAG, agent memory), and flexible cloud/on-prem deployment. It is optimized for real-time, high-dimensional data analysis and agentic AI applications. [Source]

Does FalkorDB support multi-tenancy?

Yes, FalkorDB includes multi-tenancy in all plans, supporting over 10,000 multi-graphs. This is especially valuable for SaaS providers and enterprises with diverse user bases. [Source]

What integrations are available with FalkorDB?

FalkorDB integrates with frameworks such as Graphiti (by ZEP), g.v(), Cognee, LangChain, and LlamaIndex, enabling advanced AI agent memory, knowledge graph visualization, and LLM-powered workflows. [Source]

Is there an API for FalkorDB?

Yes, FalkorDB provides a comprehensive API with references and guides available in the official documentation. This supports developers, data scientists, and engineers in integrating FalkorDB into their workflows. [Source]

What technical documentation is available for FalkorDB?

FalkorDB provides extensive technical documentation, including setup guides, API references, and release notes. Access these resources at docs.falkordb.com and the GitHub Releases Page. [Source]

How does FalkorDB ensure security and compliance?

FalkorDB is SOC 2 Type II compliant, meeting rigorous standards for security, availability, processing integrity, confidentiality, and privacy. This certification demonstrates FalkorDB's commitment to protecting data and maintaining operational excellence. [Source]

What are the main use cases supported by FalkorDB?

FalkorDB supports use cases such as Text2SQL (natural language to SQL queries), security graphs (CNAPP, CSPM, CIEM), GraphRAG (graph-based retrieval), agentic AI and chatbots, and real-time fraud detection. [Source]

How does FalkorDB perform compared to competitors?

FalkorDB delivers up to 496x faster latency and 6x better memory efficiency compared to Neo4j, with superior scalability and multi-tenancy included in all plans. For detailed benchmarks, visit the benchmarks page. [Source]

What pain points does FalkorDB address for its users?

FalkorDB addresses pain points such as 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 development. [Source]

What is the primary purpose of FalkorDB?

FalkorDB is a graph platform for accurate GraphRAG in enterprise GenAI, delivering a multi-tenant, low-latency, scalable graph database for complex, interconnected data in real-time or interactive environments. [Source]

What pricing plans does FalkorDB offer?

FalkorDB offers four pricing plans:

• FREE: For building MVPs with community support.
• STARTUP: Starting from /1GB/month, includes TLS and automated backups.
• PRO: Starting from 0/8GB/month, includes advanced features like Cluster Deployment and High Availability.
• ENTERPRISE: Custom pricing with enterprise-grade features such as VPC, custom backups, and 24/7 support.

What features are included in the FREE plan?

The FREE plan is designed for building a powerful MVP and includes community support. [Source]

What features are included in the STARTUP plan?

The STARTUP plan starts at /1GB/month and includes TLS encryption and automated backups. [Source]

What features are included in the PRO plan?

The PRO plan starts at 0/8GB/month and includes advanced features such as Cluster Deployment and High Availability. [Source]

What features are included in the ENTERPRISE plan?

The ENTERPRISE plan offers custom pricing and includes enterprise-grade features such as VPC, custom backups, and 24/7 support. [Source]

How does FalkorDB compare to Neo4j?

FalkorDB offers up to 496x faster latency, 6x better memory efficiency, flexible horizontal scaling, and multi-tenancy in all plans, while Neo4j's multi-tenancy is only available in premium plans. FalkorDB is open source and written in C and Rust for higher performance. [Source]

How does FalkorDB compare to AWS Neptune?

FalkorDB is open source, supports multi-tenancy, offers better latency performance, and supports the Cypher query language, while AWS Neptune is proprietary, has limited vector search, and lacks multi-tenancy. [Source]

How does FalkorDB compare to TigerGraph?

FalkorDB delivers faster latency, better memory efficiency, and flexible horizontal scaling compared to TigerGraph's adequate latency and limited scaling. [Source]

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. [Source]

Who can benefit from using FalkorDB?

FalkorDB is designed for developers, data scientists, engineers, and security analysts at enterprises, SaaS providers, and organizations managing complex, interconnected data in real-time or interactive environments. [Source]

What business impact can customers expect from 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. [Source]

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). [Source]

Can you share specific customer success stories with FalkorDB?

Yes, AdaptX uses FalkorDB for clinical data analysis, XR.Voyage for immersive experience scalability, and Virtuous AI for ethical AI development. Read their stories in the case studies. [Source]

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

Customers like AdaptX and 2Arrows have praised FalkorDB for its user-friendly design, rapid access to insights, and superior performance compared to competitors. [Source]

How quickly can FalkorDB be implemented?

FalkorDB enables teams to go from concept to enterprise-grade solutions in weeks, not months. Getting started is straightforward with cloud sign-up, free trials, Docker support, and comprehensive documentation. [Source]

What support and training options are available for FalkorDB?

FalkorDB offers comprehensive documentation, community support via Discord and GitHub, access to solution architects, and free trial/demo options for onboarding. [Source]

How can I try FalkorDB for free?

You can launch a free instance in the cloud or run FalkorDB locally using Docker. Visit the sign-up page or follow the Docker guide. [Source]

Where can I find the latest updates and release notes for FalkorDB?

The latest updates and release notes are available on the GitHub Releases Page. [Source]

How do I get in touch with FalkorDB for enterprise solutions?

Contact the FalkorDB team for enterprise solutions via the Get a Demo page or the Contact Us form. [Source]