Raghim AI
Verified Oct 15, 2026 ActiveSelf-hostable enterprise agent platform for document RAG, database queries and voice AI, with data-sovereignty controls.
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
No public pricing; plans are quoted directly based on deployment type: self-hosted, managed shared, or managed dedicated.
Use tool ↗About Raghim AI
Raghim AI is an enterprise chatbot and agent platform aimed at regulated organizations that need to keep data on their own infrastructure. It combines retrieval-augmented generation over internal documents, natural-language querying against databases like PostgreSQL, Oracle, and MySQL, MCP-based tool orchestration, voice AI, and live handoff to a human agent, wrapped in enterprise controls like role-based access, audit logging, retention policies, and IP allowlisting. It can be deployed self-hosted via Docker, on a managed shared cloud, or on a managed dedicated instance, letting a customer choose how much control it keeps over where data lives. Pricing is not published and requires contacting the company directly.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 15, 2026
Verified sources
- Raghim AI combines document RAG, natural-language SQL database access, MCP tool orchestration and voice AI, deployable self-hosted via Docker or managed cloudraghim.com ↗
- Enterprise controls include RBAC, audit logging, retention policies and IP allowlisting, aimed at data-sovereignty-conscious industriesdoc.raghim.com ↗
Is Raghim AI legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Jul 31, 2025 (1 year ago)Registry record (RDAP), registrar NameCheap, Inc., looked up Sep 6, 2026
- TLS certificate
- Issued by Google Trust Services, valid until Dec 17, 2026Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- Operated by
- Raghim AIOur research, card verified Sep 1, 2026
Pros & cons of Raghim AI
Raghim's whole pitch is control over data location: everything from document RAG to natural-language database queries can run self-hosted via Docker rather than only in someone else's cloud, which matters for regulated industries that can't send data off premises. That flexibility comes at the cost of a heavier setup than a plug-and-play SaaS chatbot, and there is no visible pricing to gauge cost until you talk to the vendor.
Pros
- Genuine self-hosted deployment option via Docker, not just a hosted-only product with a compliance label
- Combines document RAG, SQL and database natural-language queries, and voice AI in one platform instead of three separate tools
- Enterprise controls such as RBAC, audit logging, retention policies and IP allowlisting are built in rather than bolted on
Cons
- No published pricing, so budgeting requires a sales conversation
- Self-hosted deployment requires real infrastructure and Docker operations work
- Independent, non-vendor reviews of real-world deployments are hard to find
Best for
- Regulated organizations such as finance, healthcare or government-adjacent teams that need enterprise chatbots on infrastructure they control
- Teams wanting natural-language access to production databases alongside document Q&A in one platform
Not for
- Small teams wanting a quick SaaS chatbot with no deployment work
- Anyone needing transparent self-serve pricing before evaluating
Alternatives to Raghim AI
Raghim AI head-to-head
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