RAG sounds magical – until you try to make it work with your actual data tables. What helps, where teams get stuck, and a few examples that clicked: meilisearch.com/blog/rag-for-structured-data

That's a wrap on Launch Week 🎉 Mon: Sharding & Replication Tue: SSO/SAML + MFA Wed: Chat UI Thu: Search Performance Inspector Fri: Document Joins + Dynamic Search Rules Catch up on everything here: [https://www.meilisearch.com/launch-week-q1-2026 ]

Closing out Launch Week with two betas: 🖇️ Document Joins: link indexes like SQL tables. Search results come back enriched with related data. 📌 Search Rules: pin documents to exact positions, define your own conditions you define. Try both now, free. Full release:

Chat shipped in Meilisearch last year. We've since put a lot of work into improving the setup experience, and it's out now. Gillian, who built and shipped this, put together a walkthrough showing off the new setup. Find it in the Launch Week page:

Day 2 of Meilisearch Launch Week 🚀 Enterprise SSO/SAML is here: SAML 2.0 + OIDC, works with Okta, Azure AD, Google Workspace. Also: MFA is now free for all Cloud accounts. Enable it today. More tomorrow 👀 www.meilisearch.com/launch-week-...

Meilisearch Launch Week is live 🔥 Day 1: Sharding & Replication - one of our biggest infrastructure releases ever. Scale beyond a single node. Instant failover. Global routing. And they're fully composable. Learn more: www.meilisearch.com/blog/shardin...

Pre-weekend reminder: Meilisearch Launch Week starts next Monday, April 13. Multiple features dropping in a row. At least two of them have been a long time coming. See you Monday 🙌

Three things dropping in Meilisearch Launch Week next week: – Horizontal scaling – Enterprise security (SSO + MFA) – AI chat, straight from your index ...and more. We kick off Monday 👀 www.meilisearch.com/launch-week-...

Meilisearch Launch Week starts next Monday April 13 Five features. Three themes: infrastructure scale, enterprise security, developer experience. First drop Monday - sign up to stay updated 👀 www.meilisearch.com/launch-week-...

RAG-as-a-Service keeps coming up in AI conversations – but what does it actually mean? We wrote a guide covering what it is, how it works, why companies are choosing it, and what to look for before picking a solution. 👉 www.meilisearch.com/blog/rag-as-...

Meilisearch Launch Week is coming next week: 📅 April 13th–18th. Register your interest to get early access and updates: 👉️ share-eu1.hsforms.com/1zljrJkBuTG2...

Automotive inventory search is uniquely hard, and buyers filter across a dozen attributes at once. Here's how Touchless solves it with Meilisearch: www.meilisearch.com/blog/touchle...

You know what's gotten better at checking its own work? 👀 AI. Self-RAG lets models evaluate their own outputs and decide when to go fetch more context. Our latest article breaks down how it works 👉 meilisearch.com/blog/self-rag

You've asked an AI something - and it confidently got it wrong. RAG fixes that. It pulls in real data before answering, so your AI stops guessing and starts being useful. Build better RAG pipelines with Meilisearch 👉 meilisearch.com/blog/rag-in-ai

Samtec inc runs 1.5M monthly searches across a catalog with trillions of part combinations. Engineers don't browse - they search for specifics, and slow or irrelevant results cost sales. Read the full story on our blog 👇 www.meilisearch.com/blog/samtec-... #Search #B2B #Ecommerce

Our CTO bsky.app/profile/kero... just dropped another one of his deep-dive posts. We patched LMDB – the database engine inside Meilisearch – to make our vector store 3x faster. 6 embeddings/sec → 20, on a real customer with 19M vectors. It's a good one: www.meilisearch.com/blog/3xfaste...

We're heading to KubeCon + CloudNativeCon in Amsterdam (March 23–26)! 🇳🇱 Building search into your cloud native stack? Reach out to set up the time, or come find Chiara from our team at the event. #KubeCon #CloudNativeCon

Custom search infra is costly, complex & slow to scale. More teams are switching to Search-as-a-Service — enterprise-grade search through simple APIs. ✅ Lower costs ✅ AI-powered relevance & personalization ✅ Faster UX Is it right for you? 👉 meilisearch.com/blog/search-as-a-service

Most search indexes end up bloated - you copy the same data everywhere just to get complete results. Our new 'foreignKeys' links indexes together. Store a reference, get back the full object at search time. Your indexes stay lean. Your results stay rich. Full release:

The March Meilisearch update is here! New ranking rules, replicated sharding in the engine, major embedding performance gains, and a bunch of Cloud UI improvements. Oh, and we officially joined the Rust Foundation 🦀 Full update:

✨ New: new ranking rules! 🔹 attributeRank → prioritizes matches in higher-weighted searchable attributes 🔹 wordPosition → prioritizes matches closer to the start of an attribute Insert custom rules like price or date exactly where you want 🎯 Thanks @kerollmops.com! More: github.com/meilisearch/...

Ever searched for something but couldn't find the right words? Proximity search fixes that by focusing on intent over exact keywords, so results feel relevant even when phrasing isn't perfect. We broke down how it works in our latest guide 👇

A few weeks ago, our team attended @fosdem.org event in Brussels 🇧🇪 FOSDEM is a free, community-run event for open source developers and projects. We gave a talk on language support in search engines - recording is finally live 👇 🎥 mirrors.dotsrc.org/fosdem/2026/...

Scenario.com runs 35M monthly searches across millions of assets. At that scale, slow or broken search doesn't just frustrate users - it kills the product experience. Here's how Scenario's team built search infrastructure that keeps up 👇 www.meilisearch.com/blog/scenario #AI #Search #GenerativeAI

Bad search = lost business. It's simple. Autocomplete search (also known as typeahead) fixes this by helping people find what they need before they even finish typing. We broke down exactly how to do it right: 🔗 www.meilisearch.com/blog/typeahe... #TypeaheadSearch #UXDesign #SmartSearch

RAG conversations usually raise more questions than answers. Luckily, we partnered up with Luis Serrano for this one. Luis is great at explaining complex stuff in simple terms. If RAG is on your radar, give this a watch 👇

The first 2026 edition of Meilisearch Monthly is live on our blog! 🔐 SSO & SCIM for enterprise teams ⚡ 7x faster indexing 📊 Search analytics for all Cloud projects 🧩 Sharding improvements Plus: Gemini embeddings, FOSDEM 2026, and more. 👉 Read the full blog:

🔍 Just published: Why Elasticsearch pricing confuses 73% of developers You're calculating CPU + RAM + storage across nodes before knowing your actual costs. Meilisearch alternative: $30/mo flat, 50k searches included, production-ready in 5 min. Full breakdown 👉 www.meilisearch.com/blog/elastic...

🔍 New analysis: Why developers are choosing Meilisearch over Elasticsearch in 2025 The reason: simplicity. Elasticsearch: Distributed clusters, shard management, dedicated DevOps Meilisearch: Single binary, <50ms search, works out-of-the-box Full comparison 👉 www.meilisearch.com/blog/elastic...

⚡️ Spent 3 weeks testing Elasticsearch, Qdrant, and Meilisearch for the same search workload. The results: $99/month + weeks of config vs $30/month + 1 hour setup. Both delivered <50ms searches. One didn't require a distributed systems PhD. www.meilisearch.com/blog/elastic...

In the battle between RAG and long-context LLM – which one truly gets your data? We’ll break down: When you should use RAG over long-context LLMs Their respective advantages and disadvantages How RAG and long-context LLM perform on benchmarks

Hot off the press: Our final collaboration with Luis Serrano “Retrieve and gain: Three RAG use-case patterns you can ship today” – why real-world RAG isn’t demos, but about getting search and AI features reliable, fast, and scalable.

🚀 Our EuroRust 2025 talk is live! Our CTO, @kerollmops.com, breaks down how we build Meilisearch – a lightning-fast, open-source search engine powered by Rust. 🦀 Real infra lessons ⚡️ Low-latency architecture 🔍 How Rust enables our speed and safety 🎥 Watch: www.youtube.com/watch?v=ULA1...

Spent 40+ hours comparing search infrastructure: Elasticsearch: $99/mo+, steep learning curve, incredible power Pinecone: Vector-first, vendor lock-in, $50/mo+ Meilisearch: <50ms hybrid search, MIT license, $30/mo The differences surprised us: www.meilisearch.com/blog/elastic...

⚠️ Beta alert: Meilisearch PHP SDK v2 is out! What’s new: task objects + wait(), enums for status/type, native JsonException. 🙏🏻 We need your usage and feedback to make it stable. Get it here: github.com/meilisearch/... Shoutout to @laurentcazanove.com, @norkunas.bsky.social, and bpolaszek.

Want your LLMs to give even more reliable answers? RAG indexing is the solution. Learn: • Why indexing is important in RAG • The main indexing strategies • The main challenges of RAG indexing Read the entire article here 👉 www.meilisearch.com/blog/rag-ind...

The same Meilisearch, just *much* faster. With the latest improvements, Meilisearch is now processing databases up to 6 times faster – even when your database includes millions of documents or a large number of fields. Check it out now in your Meilisearch account → www.meilisearch.com/cloud

The future of AI accessibility starts with great search. @hf.co turned to Meilisearch Cloud to help users explore 2.2M+ models, 550K+ datasets, and 60K+ demos – instantly. Faster discovery, smarter results, and an open path toward semantic and vector search. 🌍 Accessible search = accessible AI.

Every user is different. And so is the way they search. 🎉 Introducing: Search personalization 🎉 Search personalization you boost search results based on user profiles, making results more tailored to individual behavior. To try this feature in your account, get in touch with our Support team.

⚡️ We just published a deep-dive analysis of Algolia's entire pricing structure. The complexity: dual metrics (searches + records), tiered AI features, usage-based billing that can hit $200+/month in overages for modest traffic. Full breakdown:

Implementing search is a quick kind of task, right? ❌ Wrong. According to our survey, more than 55% of development teams require three weeks or more to roll out a search solution. That’s a staggering number! Which begs the question: what goes wrong?

🔍 Just published: The real cost of "enterprise search" Algolia review reveals why teams pay $10k+/year for features they never use. Meilisearch alternative: Open-source, sub-50ms results, $30/mo cloud (or self-host free forever). Full breakdown 👉 www.meilisearch.com/blog/algolia...

🚨 It's billion with a B! We're very happy to announce that Meilisearch now processes over 10 billion searches each month spread across 10 million databases. Do you want to see the magic for yourself? Get started on our website → www.meilisearch.com

Who wins in the battle between semantic search and RAG? Discover the answer in our new guide! In it, you’ll learn: ✔️ How both of them work ✔️ The difference between them ✔️ Their limitations ✔️ The latest trends in semantic search and RAG Read all about it here 👉 www.meilisearch.com/blog/semanti...

⚡️ Under 50ms search response times aren't reserved for enterprise budgets anymore Meilisearch delivers Algolia-level AI features (hybrid search, semantic understanding, automated embeddings) with Typesense-level simplicity Check the full comparison:

There is a common misconception that RAG and prompt engineering are one and the same. But that couldn’t be farther from the truth. In this guide, we will shed light on these two concepts so you can make the right decision for your system. Read it here 👉🏻 buff.ly/3QMjxZU

🚀 The future of generative AI is here 😬 But only if you tackle hallucinations and context-limits head-on In our latest blog post, we explore how RAG + hybrid search (full-text + semantic) can dramatically boost your LLM’s accuracy and relevance 👉 Check it out: www.meilisearch.com/blog/masteri...

You can now experience Meilisearch AI in one click ⚡ No need to upload data – we’ve added a mock dataset and progress feedback so you can instantly see how it works. Fast. Intuitive. Powerful. Try it here → www.meilisearch.com

🔍 Most devs choose between: • Algolia ($500+/mo, premium pricing) • Elasticsearch (free* but needs dedicated DevOps) There's a third option delivering <50ms response times in a single-node architecture. Rust-based. Typo-tolerant by default. Hybrid AI search. www.meilisearch.com/blog/algolia...

Exciting news: Meilisearch is featured in the latest Fireship video covering OpenAI’s new browser, Atlas! It just dropped – and if you haven’t played with Meilisearch yet, here’s your sign. 👀 There’s a little code surprise in the announcement! www.youtube.com/watch?v=5uSb...