Hey Product Hunt! 👋
We’ve been working hard on something we’re super excited to share: `/chat`, a built-in conversational interface for Meilisearch.
This means you can now add ChatGPT-like experiences to your app, powered by your own data, without having to stitch together a separate RAG pipeline or onboard and manage extra AI infrastructure.
Here’s why we built it:
- Developers told us they wanted a more natural way for users to find information.
- Building chat-style search from scratch is painful: embedding services, vector DBs, orchestration, infra scaling - the list is never-ending.
We wanted to make it a no-headache solution to go from keyword text search to conversational experience.
`/chat` lets you:
- Ask questions in natural language
- Get contextual answers from your Meilisearch index
- Integrate RAG capabilities natively
And because we couldn’t stop there, this launch is part of a bigger release week 🚀:
🗺️ Advanced GeoSearch: search by polygons, neighborhoods, custom shapes
🖼️ Enhanced Multi-modal: built-in image search + multimodal query support
🧑🤝🧑 Personalization: re-rank results per user, powered by Cohere 3.5
💸 Resource-based Pricing; predictable, fair costs to support your business as you scale
We’d love your feedback:
💬 What would you build with /chat?
🔧 Which of these new features are you most excited about?
For the occasion, we’re offering 2 months of free Meilisearch Cloud subscription. Use the ✨ "ProductHunt" ✨ coupon to get started.
For more details, keep an eye out on: https://www.meilisearch.com/laun...
Thanks for checking us out and supporting our launch! ❤️
— Quentin & the Meilisearch Team
About Meilisearch Chat on Product Hunt
“We brought conversational AI to Meilisearch”
Meilisearch Chat launched on Product Hunt on October 14th, 2025 and earned 118 upvotes and 6 comments, placing #10 on the daily leaderboard. Meilisearch: Unifying your search and AI stack in a single information retrieval platform.
On the analytics side, Meilisearch Chat competes within User Experience, Artificial Intelligence and Search — topics that collectively have 849.1k followers on Product Hunt. The dashboard above tracks how Meilisearch Chat performed against the three products that launched closest to it on the same day.
Who hunted Meilisearch Chat?
Meilisearch Chat was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
fmerian