Dike vs RAGFlow

Dike and RAGFlow are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Dike

Route your OpenAI-compatible traffic through Dike and every prompt, retrieval step, and completion becomes a sealed, cryptographically verifiable audit record — the kind an auditor can check, not just a log you printed yourself. PII is stripped before anything touches storage, flagged responses queue for human sign-off, and when a serious incident fires, Dike opens the Article 73 case and starts the 15-day reporting clock automatically. The gateway is fail-open, so if audit storage goes unreachable, your requests still reach the model. The ceiling appears when your compliance requirements go beyond what a passive proxy can enforce — custom risk-scoring logic, multi-jurisdiction rules, or on-premises data residency all require architecture Dike does not currently offer.

RAGFlow

Open-source RAG engine with deep document understanding, hybrid search, and agentic workflow orchestration.

Attribute	Dike	RAGFlow
Pricing	Paid	Paid
Price	€49/mo	$29/mo
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	No	Yes
Platforms	Web gateway	Docker, Kubernetes, Linux, macOS, cloud (cloud.ragflow.io)
Released	—	2024-04
Pros	Hash-chained, tamper-evident audit records generated automatically for every call, so when an auditor asks for cryptographic proof that logs were not altered, you export a file instead of defending a claim. PII redacted at the gateway before anything is written to storage, which means GDPR exposure from prompt contents does not accumulate in your audit logs over the legally required 6-month retention window. Article 73 incident reporting opens a case and tracks the 15-day regulatory clock automatically, so serious incidents do not slip past the deadline while your team is still triaging. RAG-specific retrieval logging records which documents the model actually used per response, satisfying the Article 12(2) evidence requirement that a plain chat transcript cannot meet. Fail-open gateway design means an audit storage outage does not take down your production service — requests still reach the model provider, so compliance infrastructure does not become an availability liability.	Deep document understanding and structure recognition reduce noise and hallucinations Unified agentic platform—RAG, tools, and MCPs in one orchestration layer Fully open source, self-hostable, and enterprise-ready deployment options Rich visual UI with workflow builder, citation tracking, and chunking visualization Active community and rapid iteration; frequent feature and model updates
Cons	No self-hosted deployment option exists; all traffic routes through Dike's hosted infrastructure. Teams whose security policy prohibits third-party proxies on the production inference path, or whose legal team requires data residency guarantees beyond EU-region cloud storage, cannot use Dike without a policy exception — and teams in that position typically move to building the compliance layer in-house or evaluating enterprise gateway vendors that offer on-premises deployment. The gateway is a passive proxy: it redacts, logs, blocks, and routes, but does not evaluate custom compliance rules. Teams needing per-user-role flagging logic, multi-jurisdiction rule sets, or dynamic risk scoring based on response content will reach the proxy's ceiling quickly and find themselves maintaining custom middleware on top of Dike — at which point they are running two systems. Dike is in closed beta at the time of writing; the vendor states teams must join a waitlist. Production availability, SLA commitments, and enterprise support terms are not publicly documented, which makes procurement sign-off harder for teams with formal vendor assessment requirements.	Complex stack requiring Docker, Elasticsearch or Infinity, MySQL, MinIO, Redis—steep DevOps overhead Slower time-to-value for prototyping compared to managed SaaS alternatives Documentation and community libraries smaller than mature frameworks like LangChain

Bottom line

RAGFlow is open source; only RAGFlow can be self-hosted; Dike runs on Web gateway; RAGFlow on Docker, Kubernetes, Linux, macOS, cloud (cloud.ragflow.io). Pick the difference that actually blocks you.

Frequently asked questions

What is the difference between Dike and RAGFlow?

Dike is Paid, while RAGFlow is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Dike better than RAGFlow?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Dike vs RAGFlow: which should I pick?

Pick Dike if its pricing model, openness, or platform fit matches your constraints; pick RAGFlow otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.