Meilisearch @meilisearch

Lightning-fast, AI-powered search. Loved by developers 🌐 https://t.co/KqxJIACme9 💬 https://t.co/02TXhxZ0uL ⭐ https://t.co/L5BBc38ZjY meilisearch.com Joined October 2018

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Meilisearch @meilisearch

3 days ago

Have you seen our new Geosearch functionality? This database contains 1M+ documents and still queries in <3ms on a CUSTOM POLYGON. That means you can now draw any shape over any area and the geosearch experience will be instantaneous, even over large datasets Learn more…

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Meilisearch @meilisearch

3 days ago

Come see our CTO speak at RustConf EU as he tells our story!

EuroRust @euro_rust

3 days ago

Come see our CTO speak at RustConf EU as he tells our story!

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Meilisearch @meilisearch

5 days ago

Building an effective Retrieval-Augmented Generation (RAG) system is only half the battle. Knowing if it actually works is where the real magic happens. In this guide, learn: • What is RAG evaluation • Why is it important • What are the key metrics And so much more!…

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Meilisearch @meilisearch

a week ago

Think of modular RAG like LEGO. 🧱 You build Retrieval-Augmented Generation systems smarter and faster, as modular RAG treats each part of the process as separate but connected modules. All you have to do is snap them together into place. But how do you do that? Learn…

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Luis Serrano 🍉 @SerranoAcademy

a week ago

RAG is how we get language models to answer questions with context. Check out this post where you'll learn about the full RAG workflow and how the @meilisearch all-in-one RAG toolkit can improve latency and performance. meilisearch.com/blog/rag-with-…

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Meilisearch @meilisearch

a week ago

LLMs are great… until they hallucinate. 🤪 That’s where Retrieval-Augmented Generation (RAG) comes in — grounding answers with real data. But speed matters. In a new blog, @SerranoAcademy shows how Meilisearch makes RAG both fast and simple with hybrid search. Read here 👉…

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Meilisearch @meilisearch

2 weeks ago

Check out this tutorial from our community! Sevalla shows how to simple integrate full-text search into a Flask app 😁 youtube.com/watch?v=Xw-3Is… @tomzur @sevalla_hosting

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Meilisearch @meilisearch

2 weeks ago

Cool demos like this wouldn't be possible without the great technologies built by other people! @ElevenLabsDevs @MistralAI

Meilisearch @meilisearch

4 weeks ago

Cool demos like this wouldn't be possible without the great technologies built by other people! @ElevenLabsDevs @MistralAI

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Meilisearch @meilisearch

2 weeks ago

Traditional Retrieval-Augmented Generation (RAG) is a powerful tool. However, it often overlooks the connections between entities that lend answers depth. Enter GraphRAG, a game changer for connecting information, combining knowledge graphs with large language models to…

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Meilisearch @meilisearch

2 weeks ago

Stop overcomplicating RAG. With Meilisearch, you get: ✅ Full-text + vector in one ✅ Open-source ✅ Instant results Deep dive from @SerranoAcademy 👉 meilisearch.com/blog/rag-with-…

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Meilisearch @meilisearch

2 weeks ago

RAG in <50ms? Doubt it? Meilisearch makes it possible. But don't just take our word for it. @SerranoAcademy breaks it up: meilisearch.com/blog/rag-with-…

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Meilisearch @meilisearch

3 weeks ago

Ever heard of adaptive RAG? It’s Retrieval-Augmented Generation’s smarter cousin. 🤭 For every query, adaptive RAG decides when and how to retrieve based on the complexity of the question. But what does it actually mean (and why should you care)? We break it down in plain…

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Meilisearch @meilisearch

3 weeks ago

Curious about corrective RAG? @meilisearch will demystify it for you. In our latest guide, we explain how CRAG works, why it matters, and where it fits into modern AI workflows. So, whether you’re managing projects or optimizing processes, this is your go-to resource for…

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Meilisearch @meilisearch

3 weeks ago

Still waiting around for your traditional RAG to finish? ⌛ There’s a better, faster way to retrieve information from knowledge bases and generate responses: speculative RAG. But what exactly is it? Don’t worry, our new article will show you: 💡What speculative RAG is and…

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Meilisearch @meilisearch

3 weeks ago

Automate your workflows with webhooks 🔌 Meilisearch can automatically send an HTTP POST payload to a URL you specify whenever a task’s status changes. Now, you won’t have to constantly poll the tasks API endpoint to know when dataset is done indexing. 😅 Meilisearch webhooks…

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Meilisearch @meilisearch

4 weeks ago

Not all RAG (Retrieval-Augmented Generation) is created equal. In fact, it comes in 14 different flavors, from agentic RAG to module RAG to advanced RAG, each with its own set of advantages and disadvantages. We’ve broken them down in this article 👉 meilisearch.com/blog/rag-types…