QAnswer review

QAnswer is a private enterprise AI platform for searching organisational knowledge. Teams can ask conversational questions about documents and get answers with source citations, rather than relying on an answer without a visible source. It supports more than 30 languages and lets organisations choose QAnswer’s LLM or use models including GPT, Claude and Gemini.

Deployment is flexible: QAnswer lists on-premise hosting, a French sovereign cloud and global hyperscalers. Access controls let organisations share knowledge with individual users, teams or the whole organisation. For oversight, QAnswer includes usage and performance monitoring, plus query audits through Grafana integration.

The product is sold as a free plan, a per-user Work plan and a custom-priced Enterprise Plus plan. That makes it relevant to teams evaluating both how their knowledge is hosted and how much control they need over model choice, access and monitoring.

QAnswer’s clearest advantage is the combination of deployment choice and model choice. The feature list includes on-premise hosting, a French sovereign cloud and a global hyperscaler, alongside support for QAnswer’s own LLM and models including GPT, Claude and Gemini. That gives buyers options for where their knowledge is hosted and which model handles queries.

Citations are also a useful fit for organisational search: answers can point back to source documents. Access can be set for individuals, teams or the whole organisation, while usage monitoring, performance tracking and Grafana query audits give administrators oversight.

The pricing page lists a free plan with one AI Assistant, 10 MB of knowledge data and 50 questions per month. Work costs €10 per user per month, or €8 per user per month with annual billing, and includes 10 assistants, 1 GB of knowledge data and 8,000 LLM credits per month. It also lists QAnswer’s private LLM on both plans, with 10+ public LLMs on Work. For a team checking fit before committing, those published caps and the free tier make the entry point relatively clear.

The limits matter if your knowledge base or query volume grows. The free plan is capped at one AI Assistant, 10 MB of knowledge data and 50 questions per month. Work raises those limits to 10 assistants and 1 GB of knowledge data, but its 8,000 LLM credits are a monthly allowance; the pricing details do not state how many questions those credits cover.

Work is €10 per user per month when billed monthly, or €8 per user per month billed annually, with annual billing charged once per year. That per-user pricing can add up as access expands. Additional storage costs €5 per GB across paid plans, and extra LLM credits cost €15 one-time for 15,000 credits. Expose & Integrate is another €30 per month, excluding taxes.

Enterprise Plus removes the listed assistant and data limits and includes unlimited users, but its price is custom. On-premise or sovereign-cloud deployment is listed under that plan, so organisations needing those options should expect a sales conversation rather than a published price. QAnswer’s flexibility is useful, but storage and usage caps make plan fit worth checking before switching.

QAnswer’s Free plan costs €0 and includes one AI Assistant, 10 MB of knowledge data, 50 questions a month, its private LLM and 30+ integrations. Work costs €10 per user/month, or €8 per user/month with annual billing—a 20% discount charged once per year. At the annual rate, that is €96 per user for the year.

The jump buys 10 AI Assistants, 1 GB of knowledge data, 8,000 LLM credits a month and access to 10+ public LLMs. That is a substantial increase over Free, but Work still has a 1 GB storage limit. Enterprise Plus has unlimited assistants, data and users, plus custom deployment options, but its price is not published; buyers need a quote.

Add-ons include Expose & Integrate for €30/month excluding taxes, extra storage at €5/GB across paid plans, and 15,000 extra LLM credits for a one-time €15, with credits that never expire. Check whether those costs fit your expected usage before choosing a tier.

QAnswer supports 30+ integrations on Free and 10+ public LLMs on Work, and offers on-premise, French sovereign cloud or global hyperscaler deployment. Those options may help with deployment and model fit, but the published product information does not explain migration tools, supported import formats or how to export documents, settings, citations or query history. Confirm those details with QAnswer before moving a knowledge base or planning an exit.

The clearest switching risk is plan fit: Free includes 10 MB and 50 questions a month, while Work includes 1 GB and 8,000 LLM credits a month. Enterprise offers unlimited data, but pricing is custom. Check expected storage and usage, and ask what happens to data if you leave. We have no Reddit posts or comments in the published sources, so we can’t substantiate a claim about why users leave QAnswer. The published limits are reasons to scrutinize fit, not evidence of churn.