Frequently Asked Questions
Product Information
What is FalkorDB and what does it do?
FalkorDB is a high-performance graph database designed for managing complex relationships and enabling advanced AI applications. It is purpose-built for development teams working with interconnected data in real-time or interactive environments. Key use cases include Text2SQL, security graphs, GraphRAG, agentic AI, chatbots, and fraud detection. Learn more.
What are the main products and services offered by FalkorDB?
FalkorDB offers a graph database platform with features for real-time data analysis, multi-tenancy, advanced AI integration, and regulatory compliance. Services include cloud and on-prem deployment, comprehensive documentation, community support, and solution architect guidance. More details.
What is the primary purpose of FalkorDB?
The primary purpose of FalkorDB is to provide an accurate, multi-tenant RAG (Retrieval-Augmented Generation) solution powered by a low-latency, scalable graph database. It is designed for developers working with complex, interconnected data in real-time or interactive environments, supporting enterprise GenAI and advanced AI workflows.
Who is the target audience for 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. See more.
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. Source.
Does FalkorDB support multi-tenancy?
Yes, FalkorDB supports multi-tenancy in all plans, enabling management of over 10,000 multi-graphs. This is especially valuable for SaaS providers and organizations with diverse user bases.
How does FalkorDB handle scalability?
FalkorDB is designed for flexible horizontal scaling, allowing it to efficiently manage large-scale, high-dimensional data. It supports over 10,000 multi-graphs and is suitable for enterprises and SaaS providers with complex datasets.
What integrations does FalkorDB offer?
FalkorDB integrates with frameworks such as Cognee (for AI agent memory and knowledge graph mapping), Graphiti (for temporally-aware, multi-tenant live knowledge graphs), g.v() (for knowledge graph visualization), LangChain and LlamaIndex (for LLM integration), and more. See all integrations.
Does FalkorDB provide an API?
Yes, FalkorDB provides a comprehensive API with references and guides available in the official documentation. These resources support developers, data scientists, and engineers in integrating FalkorDB into their workflows.
What technical documentation is available for FalkorDB?
FalkorDB offers extensive technical documentation, including setup guides, API references, and release notes. Access the documentation at docs.falkordb.com and the latest updates on the GitHub Releases Page.
How does the integration with Cognee enhance AI precision?
The integration with Cognee enables developers to build AI systems with enhanced data handling and query precision. Cognee's AI memory engine maps knowledge graphs from diverse datasets, reducing hallucinations in LLM outputs and improving context-aware retrieval. This allows for structured queries combined with vector searches in a unified system. Read more.
What types of data can be ingested into FalkorDB with Cognee?
With Cognee integration, you can ingest diverse data types—including text documents, PDFs, and multimedia—into FalkorDB. Cognee organizes these into knowledge clusters for improved retrieval and understanding.
How does FalkorDB help reduce hallucinations in LLM-based applications?
By grounding LLM outputs in structured knowledge graphs, FalkorDB minimizes irrelevant or incorrect responses (hallucinations). The integration with Cognee further enhances this by mapping knowledge graphs for more context-aware retrieval.
What is the ECL (Extract, Cognify, Load) framework in Cognee?
The ECL framework in Cognee streamlines development by enabling fast deployment of pipelines that extract, cognify (process), and load data into FalkorDB's graph storage. This supports rapid knowledge graph generation from structured and unstructured data. Learn more.
Can FalkorDB combine structured queries with vector searches?
Yes, FalkorDB allows you to run structured queries and combine them with vector searches, eliminating the need to manage multiple systems for advanced AI-driven workflows.
Is FalkorDB open source?
Yes, FalkorDB is open source, encouraging community collaboration and transparency. This differentiates it from proprietary solutions like AWS Neptune.
Use Cases & Benefits
What are the main use cases for FalkorDB?
Main use cases include Text2SQL (natural language to SQL queries), security graphs for CNAPP/CSPM/CIEM, GraphRAG (advanced graph-based retrieval), agentic AI and chatbots, fraud detection, and high-performance graph storage for complex relationships. See all use cases.
How does FalkorDB benefit AI-driven teams?
FalkorDB enables AI-driven teams to build smarter, more reliable systems by providing enhanced data handling, query precision, and context-aware retrieval. The Cognee integration further improves LLM performance and reduces hallucinations, making it ideal for teams working with large, diverse datasets.
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, better user experience, regulatory compliance, and support for advanced AI applications. These outcomes empower businesses to unlock the full potential of their data. Source.
What pain points does FalkorDB address?
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 the need for real-time adaptability in agentic AI and chatbots.
Who can benefit from using FalkorDB?
Organizations and teams working with complex, interconnected data—such as those in healthcare, media and entertainment, and AI/ethical AI development—can benefit from FalkorDB. It is also ideal for SaaS providers, enterprises, and security teams. See 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). Explore case studies.
Can you share specific customer success stories using FalkorDB?
Yes. AdaptX uses FalkorDB for rapid access to clinical data insights, XR.Voyage overcame scalability challenges in immersive media, and Virtuous AI built a high-performance, multi-modal data store for ethical AI. Read their stories.
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 data access, and superior performance compared to competitors. AdaptX highlighted its ability to uncover hidden insights, while 2Arrows called it a 'game-changer' for non-traversal queries. See testimonials.
Performance & Technical Requirements
How does FalkorDB perform compared to competitors?
FalkorDB delivers up to 496x faster latency and 6x better memory efficiency than competitors like Neo4j. It supports real-time data analysis, flexible horizontal scaling, and efficient handling of large-scale, high-dimensional data. See benchmarks.
What are the technical requirements to run FalkorDB?
FalkorDB can be deployed in the cloud or on-premises. You can launch a free instance in the cloud or run it locally using Docker. Detailed setup instructions are available in the official documentation and on Docker Hub.
How long does it take to implement FalkorDB?
FalkorDB is built for rapid deployment, enabling teams to go from concept to enterprise-grade solutions in weeks, not months. This accelerates time-to-market for organizations. Learn more.
How easy is it to get started with FalkorDB?
Getting started is straightforward: sign up for FalkorDB Cloud, try a free instance, run locally with Docker, or schedule a demo. Comprehensive documentation and community support are available to help new users onboard quickly. Start here.
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. See compliance details.
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 of personal data. More info.
Pricing & Plans
What pricing plans does FalkorDB offer?
FalkorDB offers four main plans: FREE (for MVPs with community support), STARTUP (from /1GB/month, includes TLS and automated 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 a powerful MVP and includes community support. It is ideal for users who want to try FalkorDB before committing to a paid plan.
What features are included in the STARTUP plan?
The STARTUP plan starts from /1GB/month and includes features such as TLS encryption and automated backups, making it suitable for early-stage companies and projects.
What features are included in the PRO plan?
The PRO plan starts from 0/8GB/month and includes advanced features like cluster deployment and high availability, catering to organizations with more demanding requirements.
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, designed for large organizations with complex needs.
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, compared to Neo4j's on-disk storage, limited scaling, and premium-only multi-tenancy. See detailed comparison.
How does FalkorDB compare to AWS Neptune?
FalkorDB is open source, supports multi-tenancy, and provides better latency performance and memory efficiency compared to AWS Neptune, which is proprietary, has limited vector search, and no multi-tenancy. See comparison.
How does FalkorDB compare to TigerGraph?
FalkorDB delivers faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph, which has limited scaling and moderate memory efficiency. 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. See details.
Why should a customer choose FalkorDB over alternatives?
Customers should choose FalkorDB for its exceptional performance, scalability, multi-tenancy in all plans, advanced AI integration, open-source licensing, enhanced user experience, and proven success in demanding use cases. See why.
Support & Implementation
What support and training options are available for FalkorDB?
FalkorDB provides comprehensive documentation, community support via Discord and GitHub Discussions, access to solution architects, and free trial/demo options for onboarding. See documentation.
How can I contact FalkorDB for integration or support?
You can contact FalkorDB for integration or support via the Contact Us page. The team is open to new integrations and provides tailored advice for implementation.
