Frequently Asked Questions

Integration & Multi-Agent Systems

What is the FalkorDB-AG2.ai integration and how does it benefit developers?

The FalkorDB-AG2.ai integration (v0.5) enables developers to build and optimize multi-agent systems by combining FalkorDB’s ultra-fast, multi-tenant graph database with AG2.ai’s AgentOS. This allows agents to query knowledge graphs for accurate, contextually relevant information, reducing hallucinations and improving retrieval precision. Developers benefit from real-time updates, multi-tenancy, and seamless orchestration of specialized agents. Source

How does GraphRAG improve answer relevancy in multi-agent workflows?

GraphRAG grounds agent responses in structured graph data, enabling AG2 agents to deliver more accurate outputs tailored to the query context. This reduces hallucination frequency and ensures answers are anchored in factual, up-to-date information. Source

What are the key features of the FalkorDB-AG2.ai integration?

Key features include: GraphRAG with multi-agent systems, dynamic knowledge graphs with real-time updates, multi-tenancy and scalability for managing isolated datasets, and ultra-low latency for real-time responsiveness. Source

How does FalkorDB support real-time updates for agent decision-making?

FalkorDB enables real-time updates to knowledge graphs, ensuring AG2 agents operate on the most current data for decision-making and reasoning. This is critical for workflows requiring up-to-date information and rapid adaptability. Source

What is an example use case for FalkorDB-powered multi-agent systems?

In a trip-planning scenario, AG2 agents use FalkorDB-powered GraphRAG to retrieve destination-specific recommendations, validate itineraries with current schedules, and provide explainable suggestions based on graph relationships (e.g., proximity between landmarks). See the notebook example at GitHub.

How does multi-tenancy in FalkorDB benefit SaaS applications?

FalkorDB’s multi-graph architecture allows developers to manage isolated datasets efficiently, making it ideal for SaaS applications or scenarios requiring strict data separation and scalability. Source

What tools are available for integrating FalkorDB with AG2.ai?

Developers can use the GraphRAG-SDK for ontology construction and knowledge graph development, and access AG2.ai releases at AG2.ai GitHub. The SDK simplifies integration into AG2 workflows without extensive manual effort.

How does FalkorDB reduce hallucinations in AI agent outputs?

By anchoring agent outputs in structured, factual graph data, FalkorDB mitigates the risk of generating incorrect information, resulting in more reliable and explainable AI responses. Source

What is the role of the GraphRAG-SDK in agent workflow integration?

The GraphRAG-SDK streamlines ontology construction, knowledge graph development, and integration into AG2 workflows, reducing manual effort and accelerating deployment. Source

Where can I find practical examples of FalkorDB and AG2.ai integration?

Practical examples, such as the trip planner agent workflow, are available in the AG2.ai notebook at GitHub.

Features & Capabilities

What features does FalkorDB offer for AI and agentic applications?

FalkorDB provides ultra-low latency, high memory efficiency, multi-tenancy (10K+ multi-graphs), open-source licensing, linear scalability, and is optimized for GraphRAG and agent memory use cases. It supports both cloud and on-prem deployment. Source

How does FalkorDB perform compared to competitors like Neo4j?

FalkorDB offers up to 496x faster latency and 6x better memory efficiency than Neo4j, with flexible horizontal scaling and multi-tenancy included in all plans. Source

Does FalkorDB support integrations with other frameworks?

Yes, FalkorDB integrates with frameworks such as Graphiti (by ZEP), g.v(), Cognee, LangChain, and LlamaIndex, enhancing AI agent memory, visualization, and LLM interfaces. Source

Is FalkorDB open source?

Yes, FalkorDB is open source, encouraging community collaboration and transparency. Source

Does FalkorDB provide an API?

Yes, FalkorDB offers a comprehensive API with references and guides available at docs.falkordb.com for developers, data scientists, and engineers.

What technical documentation is available for FalkorDB?

FalkorDB provides detailed technical documentation and API references at docs.falkordb.com and release notes at GitHub.

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 automated backups), PRO (from 0/8GB/month, includes cluster deployment and high availability), and ENTERPRISE (custom pricing with VPC, custom backups, and 24/7 support). Source

What features are included in the FalkorDB PRO plan?

The PRO plan starts at 0/8GB/month and includes advanced features such as cluster deployment, high availability, and multi-tenancy. Source

Is there a free trial or demo available for FalkorDB?

Yes, FalkorDB offers a free plan for MVPs and the option to schedule a demo for personalized onboarding. Source

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, while Neo4j provides multi-tenancy only in premium tiers. FalkorDB is open source and supports full on-prem deployment. Source

What differentiates FalkorDB from 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. Source

How does FalkorDB compare to TigerGraph and ArangoDB?

FalkorDB delivers faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph and ArangoDB, which have limited scaling and moderate memory efficiency. Source

Use Cases & Benefits

What problems does FalkorDB solve for AI and multi-agent systems?

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. Source

Who can benefit from using FalkorDB?

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

What business impact can customers expect from FalkorDB?

Customers can expect improved scalability, enhanced trust and reliability, reduced alert fatigue, 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 using FalkorDB?

Yes, AdaptX uses FalkorDB for clinical data analysis, XR.Voyage for immersive experience platform scalability, and Virtuous AI for ethical AI development. Case studies are available at FalkorDB Case Studies.

Technical Requirements & Support

How easy is it to start using FalkorDB?

FalkorDB is built for rapid deployment, allowing teams to go from concept to enterprise-grade solutions in weeks. Users can sign up for FalkorDB Cloud, try for free, run locally with Docker, schedule a demo, and access comprehensive documentation. Source

What support and training options are available for FalkorDB?

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

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, user-friendly dashboards, and superior performance for non-traversal queries compared to Neo4j. Source

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. Source

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. Source

FalkorDB-AG2.ai Integration: Build Multi-Agent Systems

Build production-ready multi-agent systems in minutes not months.

FalkorDB Release Update: Integration with AG2.ai (v0.5)

We are excited to announce FalkorDB’s integration with AG2.ai (v0.5), a significant step forward in enabling developers to build and optimize multi-agent systems with greater efficiency and precision. This collaboration combines FalkorDB’s ultra-fast, multi-tenant graph database with AG2.ai’s AgentOS, creating a seamless platform for constructing and orchestrating specialized agents.

Key Features of the Integration

  • GraphRAG with Multi-Agent Systems: AG2 agents can now query FalkorDB-powered knowledge graphs for accurate and contextually relevant information. This reduces hallucinations in AI outputs and improves retrieval precision.
  • Dynamic Knowledge Graphs: FalkorDB supports real-time updates to knowledge graphs, ensuring that AG2 agents always operate on the most current data for decision-making and reasoning.
  • Multi-Tenancy and Scalability: With its multi-graph architecture, FalkorDB allows developers to manage isolated datasets efficiently, making it ideal for SaaS applications or scenarios requiring strict data separation.
Optimizing AG2 CapabilitiesGraphRAG IntegrationDynamic Knowledge GraphsEnhanced AG2 Agent PerformanceMulti-Tenancy and Scalability

Benefits for developers

  1. Improved Answer Relevancy: By grounding responses in structured graph data, AG2 agents deliver more accurate outputs tailored to the query context.
  2. Reduced Hallucination Frequency: Knowledge graphs anchor AI outputs in factual data, mitigating risks of generating incorrect information.
  3. High Performance: FalkorDB ensures ultra-low latency during graph queries, maintaining real-time responsiveness even in complex workflows.
  4. Ease of Use: The GraphRAG-SDK simplifies ontology construction, knowledge graph development, and their integration into AG2 workflows without extensive manual effort.
Benefits of AG2 with Graph DataImproved Answer RelevancyEase of UseHigh PerformanceReduced Hallucination Frequency

Use Case Example: Trip Planner Task

In a trip-planning scenario, AG2 agents can leverage FalkorDB-powered GraphRAG to:

  • Retrieve destination-specific recommendations based on user preferences.
  • Validate travel itineraries using up-to-date transportation schedules.
  • Provide explainable suggestions by referencing graph-based relationships (e.g., proximity between landmarks).

This integration demonstrates the practical application of combining advanced graph database technology with multi-agent systems to solve real-world problems effectively.

Check out the notebook: https://github.com/ag2ai/ag2/blob/main/notebook/agentchat_swarm_graphrag_trip_planner.ipynb

				
					Can you research and show me all the available restaurant options.

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Next speaker: planner_agent

planner_agent (to chat_manager):

Here are the available restaurant options for your trip to Rome:

1. **Trattoria da Enzo**
   - **Description:** A cozy trattoria known for its traditional Roman dishes and welcoming atmosphere.
   - **Rating:** 4.5

2. **Il Pagliaccio**
   - **Description:** An elegant Michelin-starred restaurant offering contemporary Italian cuisine.
   - **Rating:** 4.8

3. **Tonnarello**
   - **Description:** Casual stop for pasta, meatballs & other simple Roman dishes, plus patio seating & acoustic guitar.
   - **Rating:** 4.7

4. **Osteria delle Commari**
   - **Description:** Local home style Roman restaurant near Vatican Museums.
   - **Rating:** 4.3

5. **Armando al Pantheon**
   - **Description:** Traditional Roman cuisine since 1961 near the Pantheon.
   - **Rating:** 4.8

6. **Salumeria Roscioli Ristorante**
   - **Description:** Known for pasta alla gricia, amatriciana, and an impressive wine cellar.
   - **Rating:** 4.5

7. **L'Arcangelo**
   - **Description:** Known for some of the best supplì in the city and Thursday gnocchi.
   - **Rating:** 4.8

Please let me know which restaurants you'd like to include in your itinerary or if there are any changes you'd like to make!






Itinerary Example:

Day 1                                     
--------------------------------------------------------------------------------

  🏛️ Colosseum
    Explore the ancient amphitheater known for gladiatorial contests and 
    public spectacles. 

  🚶 walking from Colosseum to Trattoria da Enzo
    24 mins, (1.8 km)

  🍽️ Trattoria da Enzo
    Enjoy traditional Roman dishes in a cozy and welcoming atmosphere. 

  🚶 walking from Trattoria da Enzo to Vatican Museums
    50 mins, (3.5 km)

  🏛️ Vatican Museums
    Visit a complex of museums and galleries showcasing works of art 
    collected by Popes over centuries. 

  🚶 walking from Vatican Museums to Armando al Pantheon
    36 mins, (2.6 km)

  🍽️ Armando al Pantheon
    Experience traditional Roman cuisine since 1961, located near the 
    Pantheon.