Frequently Asked Questions
Product Information & Community Projects
What is FalkorDB and what are its primary use cases?
FalkorDB is a high-performance graph database designed for managing complex relationships and enabling advanced AI applications. Its primary use cases include Text2SQL (natural language to SQL queries), Security Graphs for CNAPP/CSPM/CIEM, GraphRAG for advanced retrieval, Agentic AI & Chatbots, Fraud Detection, and high-performance graph storage for complex relationships. Learn more.
What are FalkorDB community projects?
FalkorDB community projects showcase applications and tools built by users and contributors, including GraphRAG workflows, knowledge graph visualizations, and integrations with LLMs. These projects demonstrate real-world use cases and innovative solutions using FalkorDB. Explore community projects.
How can I get started with FalkorDB?
You can get started by signing up for FalkorDB Cloud, launching a free instance, or running FalkorDB locally using Docker. Comprehensive documentation and tutorials are available to guide you through setup and advanced configurations. Get Started Free | View Documentation.
What documentation and resources are available for FalkorDB?
FalkorDB offers complete guides, API references, and technical documentation at docs.falkordb.com. You can also access release notes on the GitHub Releases Page and join community discussions on Discord and GitHub.
What are some popular community use cases for FalkorDB?
Popular community use cases include building GraphRAG-powered AI assistants for BFSI, mental health QA chatbots, movie recommendation systems, and visualizing code graphs for open-source projects. These projects highlight FalkorDB's versatility in knowledge graph and retrieval-augmented generation workflows.
How can I join the FalkorDB community or get support?
You can join the FalkorDB community by participating in GitHub discussions, chatting on Discord, or emailing the support team. Community support is available for troubleshooting, sharing ideas, and collaborating on projects. GitHub Discussions | Discord | Email.
What are some testimonials from FalkorDB users?
Users praise FalkorDB for its performance, ease of use, and seamless integration with LLM frameworks. For example, Chris Patton (Virtuous AI) highlights its role in powering AI advice solutions, while AdaptX's CTO notes excitement about new features like Vector Index support. Read case studies.
How does FalkorDB support knowledge graph visualization?
FalkorDB supports knowledge graph visualization through tools like g.v() and the FalkorDB Browser, enabling users to explore, filter, and analyze complex data interactively. These tools are used in community projects for code graph visualization and recommendation systems. Learn more about g.v().
What integrations are available for FalkorDB?
FalkorDB integrates with frameworks such as LangChain, LlamaIndex, Graphiti, and Cognee, supporting LLM interfaces, agent memory, and advanced knowledge graph applications. These integrations enable seamless workflows for AI, chatbots, and data analysis. LangChain integration | LlamaIndex integration.
How does FalkorDB enable rapid deployment and ease of use?
FalkorDB is built for rapid deployment, allowing teams to go from concept to enterprise-grade solutions in weeks. Users report easy setup, intuitive UI, and fast onboarding, with cloud instances ready in minutes and Docker support for local development. Docker Guide.
Features & Capabilities
What are the key features of FalkorDB?
Key features include ultra-low latency (up to 496x faster than Neo4j), 6x better memory efficiency, support for 10,000+ multi-graphs (multi-tenancy), open-source licensing, linear scalability, advanced AI integration (GraphRAG, agent memory), and flexible cloud/on-prem deployment. See full feature list.
Does FalkorDB support multi-tenancy?
Yes, FalkorDB supports robust multi-tenancy in all plans, enabling management of over 10,000 multi-graphs. This is ideal for SaaS providers and enterprises with diverse user bases. Learn more.
How is FalkorDB optimized for AI and GraphRAG applications?
FalkorDB is tailored for advanced AI use cases, such as GraphRAG and agent memory, enabling intelligent agents and chatbots with real-time adaptability. It combines graph traversal with vector search for personalized user experiences and supports integration with LLM frameworks. GraphRAG SDK.
What performance metrics does FalkorDB offer?
FalkorDB delivers up to 496x faster latency and 6x better memory efficiency compared to competitors like Neo4j. It supports real-time data analysis, interactive dashboards, and flexible horizontal scaling for large-scale datasets. See benchmarks.
Is FalkorDB open source?
Yes, FalkorDB is open source, encouraging community collaboration and transparency. This differentiates it from proprietary solutions and enables flexible integration and customization. GitHub repository.
Does FalkorDB provide an API?
Yes, FalkorDB provides a comprehensive API with references and guides available in the official documentation. The API enables developers, data scientists, and engineers to integrate FalkorDB into their workflows effectively. API Documentation.
What frameworks and tools does FalkorDB integrate with?
FalkorDB integrates with Graphiti (for agent memory), g.v() (for visualization), Cognee (for mapping knowledge graphs), LangChain, and LlamaIndex (for LLM integration). These integrations support advanced AI, visualization, and knowledge graph workflows. Graphiti blog.
How does FalkorDB enhance user experience?
FalkorDB enables fast, interactive analysis of complex data through dashboards and custom views. Users report frictionless UX, easy graph visualization, and intuitive interfaces for exploring and filtering data. See customer feedback.
Pricing & Plans
What pricing plans does FalkorDB offer?
FalkorDB offers four pricing 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.
What features are included in the FREE plan?
The FREE plan is designed for building powerful MVPs and includes community support. It allows users to explore FalkorDB's capabilities without upfront costs. See plan details.
What features are included in the STARTUP plan?
The STARTUP plan starts at /1GB/month and includes TLS encryption and automated backups, making it suitable for small teams and startups needing secure, reliable graph database solutions. See plan details.
What features are included in the PRO plan?
The PRO plan starts at 0/8GB/month and includes advanced features such as cluster deployment, high availability, and enhanced scalability. It is ideal for growing businesses and larger teams. See plan details.
What features are included in the ENTERPRISE plan?
The ENTERPRISE plan offers tailored pricing and includes enterprise-grade features such as VPC, custom backups, and 24/7 support. It is designed for organizations with complex requirements and high security needs. See plan details.
Competition & Comparison
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. Neo4j uses an on-disk storage model and offers multi-tenancy only in premium plans. FalkorDB is open source and written in C/Rust for higher performance. See comparison.
How does FalkorDB compare to AWS Neptune?
FalkorDB is open source, supports multi-tenancy, and offers better latency performance compared to AWS Neptune, which is proprietary and has limited vector search capabilities. FalkorDB also supports Cypher query language and efficient vector search. See comparison.
How does FalkorDB compare to TigerGraph?
FalkorDB delivers faster latency, better memory efficiency, and flexible horizontal scaling compared to TigerGraph, which has limited scaling and moderate memory efficiency. FalkorDB is ideal for performance-critical applications and large-scale data management. Learn more.
How does FalkorDB compare to ArangoDB?
FalkorDB demonstrates superior latency and memory efficiency, with flexible horizontal scaling and robust multi-tenancy. ArangoDB offers moderate memory efficiency and limited scaling. FalkorDB is best for demanding workloads and enterprise-grade solutions. Learn more.
What are the main differentiators of FalkorDB compared to competitors?
FalkorDB stands out with ultra-low latency, high memory efficiency, open-source licensing, multi-tenancy in all plans, advanced AI integration, and flexible scaling. It is trusted by customers in healthcare, media, and ethical AI development. See case studies.
Use Cases & Benefits
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. It is ideal for applications requiring scalability, low latency, and advanced AI integration. Get a demo.
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, frictionless user experience, regulatory compliance, and support for advanced AI applications. These outcomes empower businesses to unlock the full potential of their data. Learn more.
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). These case studies demonstrate FalkorDB's versatility and impact across sectors. See case studies.
Can you share specific customer success stories?
Yes, AdaptX uses FalkorDB for clinical data analysis, XR.Voyage overcame scalability challenges in immersive platforms, and Virtuous AI built a high-performance, multi-modal data store for ethical AI development. Read their stories.
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/chatbot development. Learn more.
How does FalkorDB help with regulatory compliance?
FalkorDB's GraphRAG-SDK maps regulations to workflows, identifies compliance gaps, and provides actionable recommendations, helping organizations stay ahead of financial regulations and maintain compliance. GraphRAG-SDK.
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. This certification demonstrates FalkorDB's commitment to maintaining the highest standards of security and compliance. Learn more.
What security features does FalkorDB provide?
FalkorDB provides robust security features, including protection against unauthorized access, operational availability, accurate and timely data processing, confidentiality safeguards, and privacy protections. These features are validated by SOC 2 Type II compliance. Learn more.
Technical Requirements & Support
How easy is it to implement FalkorDB?
FalkorDB is designed for rapid deployment, enabling teams to implement solutions in weeks, not months. Users report straightforward setup, fast onboarding, and comprehensive documentation for both cloud and local deployments. Documentation.
What support options are available for FalkorDB users?
Support options include comprehensive documentation, community support via Discord and GitHub, solution architects for tailored advice, and free trial/demo options for onboarding. Schedule a demo.
Where can I find FalkorDB tutorials and guides?
FalkorDB tutorials and guides are available on the official blog, documentation site, and community forums. Practical guides cover topics like Graphiti, GraphRAG, and advanced integrations. Blog | Documentation.
