Meilisearch

Meilisearch

@meilisearch.com

Open-source, AI-powered hyper-relevant search engine ⚑️ 🌐 http://meilisearch.com πŸ’¬ http://discord.meilisearch.com ⭐ http://github.com/meilisearch/meilisearch

162 followers4 following236 posts

RAG and MCP get mixed up a lot, but they do pretty different things. Say a customer’s order never showed up and they got charged twice. RAG is how your assistant finds the refund policy. MCP is how it checks the order and issues the refund. www.meilisearch.com/blog/rag-vs-...

meilisearch.comRAG vs. MCP: Differences, use cases, and when to use eachCompare RAG vs. MCP across architecture, data access, freshness, cost, and use cases. Learn when to use retrieval, MCP, or both together.

Already running Meilisearch and search feels slow? New blog helps to diagnose why. Performance trace in Search preview breaks a query into stages, and each stage points at something specific – filters, searchable attributes, response size. Full post: www.meilisearch.com/blog/diagnos...

meilisearch.comHow to diagnose search performance problems in B2B SaaSLearn how to diagnose search performance problems in a growing B2B SaaS product, from latency and indexing issues to scaling and reliability.

Until now, disk performance was something you inferred. Now, the updated infrastructure tab shows your reads, writes, and throughput against your current limit. When you need more, you upgrade it yourself. Standard costs nothing extra. Higher tiers are paid.

Semantic and hybrid search used to mean wiring up your own embedding setup first. The new AI Embedders page lets you connect OpenAI, Voyage AI, Cohere, Mistral, Gemini, Cloudflare, or Ollama from any index. Prototype in minutes, keep the same setup in production. Open any index to try it.

We're exhibiting at IBC2026, Europe's biggest media and entertainment tech show. πŸ“… 11–14 Sept πŸ“ Stand 14.D53, Hall 14, RAI Amsterdam Search, recommendations, and RAG for media. We'll also be at the AWS stand. Free visitor passes on us with code IBC12178, link below πŸ‘‡

Meilisearch v1.53 is here πŸ“£ Foreign filters (experimental) now work on sharded setups – filter one index with data from another, across multiple machines. Each filter can now retrieve up to 1,000 documents, 10x the previous limit. github.com/meilisearch/...

RAG systems split documents into chunks – split them wrong, and even the best LLM struggles to retrieve the right content. Split them correctly, and accuracy and relevance improve. We break down 13 chunking strategies πŸ‘‰ www.meilisearch.com/blog/rag-chu...

meilisearch.com13 RAG chunking strategies for better retrievalDiscover 13 RAG chunking strategies that help you optimize context windows, improve retrieval precision, and boost overall RAG pipeline performance.

Meilisearch v1.51 is out πŸŽ‰ Search up to 5.4x faster on field-heavy documents (153 ms β†’ 28 ms in one production workload), Dynamic search rules that activate based on filters. Details:https://github.com/meilisearch/meilisearch/releases/tag/v1.51.0

Meilisearch or Manticore - which is the better fit? In our latest guide, you’ll learn how Meilisearch and Manticore differ in architecture and performance, which is better for startups, SaaS apps, and large datasets, & key factors to consider. Full blog here:

meilisearch.comMeilisearch vs. Manticore: Use cases, features, & moreCompare Meilisearch and Manticore across performance, scalability, features, and ease of use. Choose the right search engine for your needs.

Validating a document template used to be tedious. Meilisearch v1.48.0 adds an experimental render route: render any template or fragment and see the result, before and after you configure an embedder. Turn on the renderRoute experimental feature to try it: cloud.meilisearch.com/login

Search personalization now works with federated search πŸŽ‰ You can tailor results to each user, even across multiple indexes in a single search. This feature is an add-on; reach out to support@meilisearch.com and we'll get you set up!

VivaTech starts this week πŸ‡«πŸ‡· We'll be at our booth. Come grab a coffee with the team and talk search + AI, or book a time to chat. β˜• See you there!

VivaTech turns 10, and we'll be right in the middle of it. 17-20 June, Paris. Come see what fast, AI-powered search and retrieval feels like: faster discovery, higher conversions, happier customers, in milliseconds. Hall 7.1, Stand 1H42-003. We'll save you a demo. #VivaTech2026

Second time at VivaTech for the Meilisearch team πŸ‡«πŸ‡· June 17–20 in Paris. Come find the team, see what we're building, and talk search + AI. We're at Hall 7.1 Β· Stand 1H42-003. See you!

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. πŸ‘‰ www.meilisearch.com/blog/rag-as-...

meilisearch.comRAG-as-a-Service: what it is, use cases, providers & moreLearn what RAG-as-a-Service is, why it matters, common use cases, key benefits, and how to evaluate providers to build more accurate AI applications faster.

You know what's gotten better at checking its own work? πŸ‘€ 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 πŸ‘‰ meilisearch.com/blog/self-rag

meilisearch.comSelf-RAG explained: how self-reflective retrieval boosts AI outputsLearn what self-RAG is, how it works, and why self-reflective retrieval-augmented generation reduces hallucinations and improves reliability in LLM systems.

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 πŸ‘‰ meilisearch.com/blog/rag-in-ai

meilisearch.comHow to build and optimize RAG in AI for reliable answersLearn how RAG in AI works in practice, how to improve retrieval relevance, evaluate quality, secure data, and keep results up to date in production.

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 πŸ‘‡ www.meilisearch.com/blog/samtec-... #Search #B2B #Ecommerce

meilisearch.comMeilisearchMeilisearch: A powerful, open-source search engine offering fast and relevant full-text searches. Enhance your search capabilities with features like facet search, semantic search, hybrid search, and…

We're heading to KubeCon + CloudNativeCon in Amsterdam (March 23–26)! πŸ‡³πŸ‡± 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 β€” enterprise-grade search through simple APIs. βœ… Lower costs βœ… AI-powered relevance & personalization βœ… Faster UX Is it right for you? πŸ‘‰ meilisearch.com/blog/search-as-a-service

meilisearch.comSearch-as-a-Service explained: how it works, providers, and moreFind out what Search-as-a-Service is, how it works, key pros and cons, top providers, how to choose the right one, and more.

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:

github.comRelease v1.39.0 πŸ³β€‹ Β· meilisearch/meilisearchWhat's Changed ✨ Enhancement πŸ”¬ Cross-index document hydration Add a new ForeignKeys setting allowing to hydrate documents with documents coming from other indexes. πŸ““ Note: This implementation…