✨ 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...
And more! But you’ll have to read the article to find out all there is to know about RAG versus long-context LLMs 👉 www.meilisearch.com/blog/rag-vs-...
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:
In our latest article, read what over 100 CTOs and technical CEOs have to say about the common pitfalls of search implementation. We’ll also share insights that help you avoid making the same costly mistakes.
Read it here 👉 www.meilisearch.com/blog/search-...
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...
