Contextual
Paid
Individual developers managing local codebases
Rule engines give you auditability but can't explain a decision in plain language; RAG systems explain decisions but drift into probabilistic territory you can't defend in a compliance review. AI·rete·RAG is built specifically for the gap between those two failure modes.
The tool pairs a deterministic rule engine with retrieval-augmented generation, so every decision is grounded in a defined rule set and can produce a document-backed explanation alongside it. Audit trails are first-class — the vendor positions this as the core deliverable, not an afterthought. Pricing is quota-based rather than per-seat, which makes it tractable for internal tools or side projects where headcount-based billing becomes punishing fast. Self-hosting is available at the enterprise tier, though the vendor does not publish a self-serve download link, so your infrastructure team cannot evaluate that path without a sales conversation. Teams needing multi-step autonomous agent loops will find no path here — this is a decision point, not a planning runtime.
Bottom line: Pick this when you need a compliance-defensible decision layer that explains itself in plain language; look elsewhere when your workflow needs agents that chain multiple tool calls autonomously across unpredictable paths.
1 domain, 1,000 decisions/month, 10 MB storage, full audit, public API
3 domains, 10,000 decisions/month, 50 MB storage, team members, community support
5 domains, 25,000 decisions/month, 250 MB storage, email support
10 domains, 100,000 decisions/month, 1 GB storage, email support
Unlimited domains, 500,000 decisions/month, 10 GB storage, rule change tracking, priority support
Unlimited everything, self-hosted option, custom LLM endpoints, dedicated success engineer, custom SLA
View full pricing on ai-rete-rag.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in RAG Frameworks. Compare pricing, platforms, and features side by side.
Paid
Individual developers managing local codebases
Freemium
AI models and agents that require source-backed, up-to-date evidence from changing data
RAG systems offer explanations yet drift into probabilistic territory that compliance reviews cannot defend. AI·rete·RAG pairs a deterministic rule engine with retrieval-augmented generation so every decision stays grounded in a defined rule set and produces a document-backed explanation. The vendor states audit trails form the core deliverable rather than an afterthought.
Quota-based pricing starts at $1/month with a free tier limited to 1 domain, 1,000 decisions per month, and 10 MB of document storage. Self-hosting is available only at the enterprise tier, though no public download link exists. API access is provided.
The approach suits rule-driven decision automation with audit trails and document-grounded explanations for compliance decisions. It avoids per-seat fees so internal tools and side projects scale by usage rather than team size. No autonomous agent capability exists; decisions remain single-point rule evaluations rather than multi-step planning loops. Teams needing chained tool calls or retry logic will reach this limit quickly.
Best for teams needing deterministic rules plus RAG explanations, projects requiring auditable decision logs, and users wanting predictable monthly pricing without seat fees. Skip it if you require multi-step agent workflows or must evaluate self-hosting without first contacting sales.
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