
How did I use Mistral's new 7B model?
Mistral AI's new model performs very well, allowing builders to create fully open-source, performant LLM-based apps.
Stories, strategies, and insights from the frontlines of customer support.

Mistral AI's new model performs very well, allowing builders to create fully open-source, performant LLM-based apps.

A journey of transformation: Quivr empowered Ponti Capital to overcome code challenges, boost customer support, and streamline development for their golf app, Roundabout.

RAG, prompting, and fine-tuning in AI: When to use each? Explore their strengths, limitations, and best use cases for optimal AI language model deployment.

Integrating AI into your Application: A thoughtful yet pragmatic guideline to scale your RAG application from proof of concept to business end-users.

Quivr's new Knowledge Management System (KMS) revolutionizes data organization by unifying local and cloud-stored knowledge in one intuitive, powerful hub.

Feedback on how Quivr became SOC 2 compliant. All our learnings

MegaParse, our innovative open-source parsing framework, is on a mission to simplify and enhance this process at the fastest pace possible.

Think of it as your Google Drive but connected to Dropbox, Sharepoint, Notion and other Google Drives. All in one place and where you can chat with your documents.

Explanation on what happened on the open-source repository of Quivr and our vision for the futur

Le Juge: when multiple AIs unite to deliver rock-solid ticket evaluations—no more false positives, only confidence!

Discover how Quivr integrates with Zendesk in just 5 minutes to generate smart ticket responses instantly, and how you can customize everything later through a powerful Admin Panel.

Here is how we tried to apply the Y Combinator Playbook to this pivot, our learnings, and what we want to achieve.

Here’s how we approached our pivot by involving users, turning feedback into a roadmap.

Quivr ditches dumb business rules for smart statistics, automatically finding patterns in your support tickets to deliver answers that actually work.

Découvrez comment l'équipe support du Vapoteur Discount a réussi à traiter jusqu’à 6 fois plus de tickets quotidiens pendant les pics d'activité, tout en augmentant sa satisfaction client de 8 points, sans recruter. Steven, spécialiste support B2C, partage comment l’intégration de Quivr leur permet aujourd'hui de gérer efficacement la saisonnalité tout en libérant du temps pour des missions à forte valeur ajoutée.

Discover why today’s chatbots trap customers in endless “please rephrase” loops—and how intelligent, context-aware AI that knows when to hand you off to a human can turn your support from frustrating obstacle course into a fast-lane solution.

Master the difference between CSAT and NPS with our easy-to-use glossary. Learn what each metric measures, how they’re calculated, and when to apply them—so you can choose the right tool for immediate satisfaction versus long-term loyalty and drive meaningful customer insights.

Learn how self-service, AI chatbots, and proactive alerts can deflect tickets, cut support volume, and free your team to tackle complex challenges.

Why 94% of customers stick with brands that make things easy, not amazing. The overlooked metric that predicts loyalty better than satisfaction scores—and how to measure what actually matters for your business.

The shocking truth: most companies claiming 80% first contact resolution are lying. Here's why your real FCR is probably under 50%—and the exact playbook to fix it without faking the numbers.

Escalation in customer support quietly multiplies costs and churn. Learn why it happens, its hidden price tag, and how Quivr slashes unnecessary hand‑offs.

Discover how Quivr reaches 99 % auto‑send accuracy with live data, confidence gating, and continuous learning—turning AI drafts into safe, instant resolutions.

First Contact Resolution failures drain budgets fast. Discover data‑backed tactics and see how Quivr’s AI lifts FCR and slashes support costs—book a demo today.
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