InfiniFlow
InfiniFlow operates RAGFlow, an open-source Retrieval-Augmented Generation engine for AI agents, serving financial services, legal, manufacturing, and education verticals via tiered cloud SaaS and self-hosted enterprise deployment.
- Company typePrivate
- Founded2023
- HeadquartersShanghai, China
- Headcount11–50
- GTM typeB2B and B2C
- OfferingSoftware
What InfiniFlow does
InfiniFlow is a Shanghai-based, US-incorporated AI infrastructure company that develops and operates RAGFlow, an open-source Retrieval-Augmented Generation (RAG) engine targeted at enterprises and developer teams needing production-grade context assembly for AI agents. The platform serves four primary verticals — financial services, legal and compliance, manufacturing, and education — with horizontal applicability to any organization managing large document repositories. InfiniFlow monetizes through a tiered cloud SaaS offering (Free, $29/month Starter, $129/month Pro, and quote-based Enterprise with BYOC and on-premises options) supplemented by usage-based API credits.
The product portfolio centers on RAGFlow, augmented by three proprietary components: DeepDoc, a VLM-powered multimodal document parser; Infinity, a custom vector database and full-text search engine; and Agent Canvas, a visual workflow orchestration platform supporting multi-agent configurations, planning, reflection, and Model Context Protocol (MCP) integration. The architecture combines vector, BM25, and tensor search with advanced re-ranking, alongside GraphRAG knowledge graph construction and RAPTOR hierarchical tree retrieval for multi-hop reasoning. The platform integrates 30+ data source connectors and supports 100+ LLM provider integrations, with API access via both HTTP and Python SDK.
Go-to-market is community-led and product-led, leveraging the open-source Apache 2.0 distribution on GitHub — which has accumulated 10,000+ stars within three months of release and earned recognition as one of GitHub's fastest-growing open-source projects by October 2025. The company channels self-serve cloud adoption into enterprise contracts through BYOC and on-premises deployment options. InfiniFlow appears bootstrapped or founder-financed with no disclosed external funding and operates with a small team of 11-50 employees while maintaining an aggressive release cadence, with v0.26.2 shipping in June 2026.
InfiniFlow firmographics
Firmographics- Name
- InfiniFlow
- Legal name
- InfiniFlow Inc.
- Website
- https://ragflow.io
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- InfiniFlow operates RAGFlow, an open-source Retrieval-Augmented Generation engine for AI agents, serving financial services, legal, manufacturing, and education verticals via tiered cloud SaaS and self-hosted enterprise deployment.
- Ownership category
- akta.pro rank
InfiniFlow industry classification
Industry- Product category
- Retrieval-Augmented Generation (RAG) Platform
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding (HDAAACAE)
- akta.pro secondary industries
- Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG), Enterprise Search, Indexing & Content Discovery (HDAEAGAH)
Keywords
Where InfiniFlow is headquartered
LocationHeadquarters
- HQ city
- Shanghai
- HQ country
- China
- HQ region
- Asia
Markets served
InfiniFlow business model
Business model- GTM type
- B2B and B2C
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Cloud SaaS Subscription: Monthly subscription tiers for cloud-hosted RAGFlow service. Free tier for exploration, Starter ($29/month) for individuals/small teams, Pro ($129/month) for growing businesses, and Enterprise for production workloads with custom pricing. Includes API access on paid tiers.
- Credit-Based API Usage: Usage-based credit system for API calls and LLM inference. Starter tier includes 5,000 credits/month, Pro includes 20,000 credits/month. Enterprise likely has custom credit allocations with dedicated support.
- Enterprise Licensing: BYOC (Bring Your Own Cloud) and on-premises deployment options for enterprise customers requiring data sovereignty, custom SLA, and dedicated support.
- Open Source / Community: Open-source core product distributed via GitHub (Apache 2.0 license) driving community growth, brand awareness, and indirect enterprise conversion.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier for individuals exploring RAGFlow with essential features |
| Subscription | Monthly | Entry paid tier for individuals and small teams starting their RAG journey |
| Subscription | Monthly | Most popular tier for growing businesses requiring advanced features and higher limits |
| Subscription | Multi-year contract | Enterprise-grade capabilities for production workloads at scale |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
InfiniFlow product offering
Product offeringCore offering
InfiniFlow builds RAGFlow, an open-source Retrieval-Augmented Generation (RAG) engine and AI agent orchestration platform that turns complex enterprise documents into queryable knowledge bases. The platform combines proprietary multimodal document parsing (DeepDoc), hybrid vector/BM25/tensor search with re-ranking, knowledge graph and tree-based retrieval, and a visual Agent Canvas for building multi-agent workflows. It is distributed as open-source software for self-hosting, as a managed cloud SaaS with tiered subscriptions, and as enterprise BYOC or on-premises deployments.
Product overview
RAGFlow is InfiniFlow's flagship open-source RAG (Retrieval-Augmented Generation) engine positioned as an Agentic Context Engine for enterprise AI. The product portfolio centers on RAGFlow as the core platform, augmented by DeepDoc (multimodal document parser using VLM), Infinity (document engine for vector and full-text search), and Agent Canvas (visual workflow orchestration). Key capabilities include hybrid search combining vector, BM25, and tensor search with reranking; knowledge graph retrieval (GraphRAG); hierarchical tree retrieval (RAPTOR); and an orchestratable ingestion pipeline for ETL. The platform supports 50+ LLM providers and offers both self-hosted (Docker, Kubernetes) and cloud deployment options. A comprehensive API layer (HTTP and Python SDK) enables programmatic integration.
Differentiator
Problem solved
Functional benefit
Products and services
- RAGFlow Open-source Retrieval-Augmented Generation (RAG) engine for enterprise AI that combines high-precision hybrid search, multimodal document intelligence, and an integrated agent orchestration platform for production workloads. Targets organizations needing to ground AI agents on private or complex documents.
- RAGFlow Cloud Hosted SaaS deployment of RAGFlow providing managed infrastructure with Free, Starter ($29/month), Pro ($129/month), and Enterprise tiers. Enterprise tier adds BYOC deployment, on-premises deployment, dedicated support, and custom SLA. Targets individuals, small teams, and organizations preferring managed infrastructure over self-hosting.
- Infinity High-performance document engine serving as a vector database and full-text search backend, supporting hybrid search (vector + BM25 + tensor), metadata filtering, and auto-tagging. Distributed as a standalone open-source project under infiniflow/infinity and integrated with RAGFlow as an alternative to Elasticsearch and OpenSearch.
Quantifiable outcome
- 50-100% retrieval latency reduction with Elasticsearch optimization
- +2 more outcomes
Companies that use InfiniFlow
Customer profileSegments5 records
Ideal customer profiles5 records
InfiniFlow technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration32 records
AI capability15 records
Feature8 records
InfiniFlow partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- OpenClawcoreOpenClaw integration enables RAGFlow datasets to be accessible via the OpenClaw enterprise claw platform, providing enterprise-aware claw capabilities for RAGFlow users. This integration extends RAGFlow's enterprise data access capabilities through OpenClaw's platform.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
InfiniFlow competitors and assessment
Company assessmentDirect peers
- LangChain: Open-source LLM application framework with strong RAG and agent orchestration capabilities. LangChain and RAGFlow compete directly for developers building production LLM applications with retrieval, agents, and tool integration.
- LlamaIndex: Open-source data framework for LLM applications, focused on ingestion, indexing, and retrieval (RAG). Directly comparable to RAGFlow in target audience, RAG focus, and open-source + commercial SaaS go-to-market.
- Haystack (deepset): Open-source framework for building production LLM applications with RAG pipelines, agents, and document search. Closely aligned with RAGFlow on architecture (Python, Docker, hybrid retrieval) and enterprise positioning.
- Vectara: Managed RAG-as-a-service platform focused on enterprise-grade retrieval with hybrid search and grounded generation. Competes with RAGFlow's cloud SaaS tier for production RAG workloads.
- Pinecone: Managed vector database purpose-built for RAG and semantic search. Adjacent competitor — RAGFlow's Infinity is a direct functional alternative to Pinecone for vector + full-text retrieval.
- Weaviate: Open-source vector database with hybrid search and RAG-ready features. Competes with RAGFlow at the document engine / vector store layer, and offers its own RAG pipelines.
- Qdrant: Open-source vector similarity search engine with filtering and hybrid retrieval support. Comparable to RAGFlow's Infinity in use case (vector + metadata search for RAG) and open-source distribution.
Broad incumbents
- Cohere: Enterprise LLM platform with retrieval (RAG) and agent capabilities via Command R+ and Coral. A broader incumbent offering overlapping RAG functionality alongside foundation models.
- Amazon Kendra / AWS Bedrock Knowledge Bases: Hyperscaler offering for enterprise document search and managed RAG pipelines. Represents bundled, well-funded competition that can offer similar capabilities with data residency and enterprise procurement advantages.
Emerging players
- Glean: Enterprise AI search and knowledge management platform using RAG across corporate document repositories. Comparable in target customer (enterprise knowledge workers) and document RAG approach.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
InfiniFlow social profiles
Digital presenceInfiniFlow compliance and trust
Trust signalCompliance3 records
InfiniFlow financial estimates
Financial estimateRevenue estimate
Valuation estimate
InfiniFlow leadership team
Management profileNumber of profiles
InfiniFlow funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
InfiniFlow M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about InfiniFlow
What does InfiniFlow do?
InfiniFlow builds RAGFlow, an open-source Retrieval-Augmented Generation (RAG) engine and AI agent orchestration platform that turns complex enterprise documents into queryable knowledge bases. The platform combines proprietary multimodal document parsing (DeepDoc), hybrid vector/BM25/tensor search with re-ranking, knowledge graph and tree-based retrieval, and a visual Agent Canvas for building multi-agent workflows. It is distributed as open-source software for self-hosting, as a managed cloud SaaS with tiered subscriptions, and as enterprise BYOC or on-premises deployments.
Is InfiniFlow a public or private company?
InfiniFlow is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was InfiniFlow founded?
InfiniFlow was founded in 2023. It employs 11 to 50 people.
Where is InfiniFlow based?
InfiniFlow is headquartered in Shanghai, China, in the Asia region.
How does InfiniFlow make money?
Four revenue lines are on record. Cloud SaaS Subscription is the primary driver. The others are credit-Based API Usage, enterprise Licensing and open Source / Community.
Who are InfiniFlow's main competitors?
Direct peers on record are LangChain, LlamaIndex, Haystack (deepset), Vectara, Pinecone, Weaviate and Qdrant. Broad incumbents are Cohere and Amazon Kendra / AWS Bedrock Knowledge Bases. Glean is listed as an emerging player.
Does InfiniFlow have an API?
Yes. RAGFlow offers both HTTP and Python APIs for managing datasets, files, chat assistants, agents, and memory. The APIs support RESTful conventions with backward compatibility for legacy endpoints. Key API capabilities include: conversational interfaces with agents and chat assistants, dataset and document management, memory management (HTTP and Python APIs), chunk retrieval, metadata-based filtering, OpenAI-compatible chat completions endpoint, and webhook triggering for agent execution. Authentication uses API keys. Developer documentation is at ragflow.io/docs/category/references.
What industry is InfiniFlow in?
InfiniFlow's product category is Retrieval-Augmented Generation (RAG) Platform. Its primary akta.pro industry code is HDAAACAE, Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding, with a secondary code of BPAEAHAG, Generative AI & LLM Solutions Services (RAG, Agents, Copilots). Its NAICS code is 5132 and its SIC code is 7372.