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Blog

Tutorials, product updates, and insights from the Meilisearch team

All postsAICommunityCompany newsCustomersEngineeringFuture of workMeet the teamMeilistarsReleaseState of search
What is GraphRAG: Complete guide [2026]
AI

What is GraphRAG: Complete guide [2026]

Discover how GraphRAG improves traditional RAG by using graph-based reasoning to deliver more accurate, explainable, and context-rich AI responses.

Maya Shin
Maya ShinSeptember 16, 2025
What is agentic RAG? How it works, benefits, challenges & more
AI

What is agentic RAG? How it works, benefits, challenges & more

Discover what agentic RAG is, how it works, the benefits, the challenges, the drawbacks, common tools used in agentic RAG pipelines & much more.

Maya Shin
Maya ShinSeptember 12, 2025
From RAG to riches: building a practical workflow with Meilisearch’s all-in-one tool
AI

From RAG to riches: building a practical workflow with Meilisearch’s all-in-one tool

Walk through a practical RAG workflow with Meilisearch: query rewriting, hybrid retrieval, and LLM response generation, simplified by a single, low-latency platform.

Luis Serrano
Luis SerranoSeptember 11, 2025
Adaptive RAG explained: What to know in 2026
AI

Adaptive RAG explained: What to know in 2026

Learn how adaptive RAG improves retrieval accuracy by dynamically adjusting to user intent, query type, and context, ideal for real-world AI applications.

Maya Shin
Maya ShinSeptember 10, 2025
Speculative RAG: A faster retrieval-augmented generation
AI

Speculative RAG: A faster retrieval-augmented generation

Discover how speculative RAG improves traditional RAG with faster drafts, smarter retrieval, and better performance for advanced AI workflows.

Maya Shin
Maya ShinSeptember 4, 2025
August Changelog
Release

August Changelog

Everything we shipped this month at Meilisearch.

Laurent Cazanove
Laurent CazanoveSeptember 3, 2025
Corrective RAG (CRAG): Workflow, implementation, and more
AI

Corrective RAG (CRAG): Workflow, implementation, and more

Learn what Corrective RAG (CRAG) is, how it works, how to implement it, and why it improves accuracy in retrieval-augmented generation workflows.

Maya Shin
Maya ShinSeptember 3, 2025
14 types of RAG (Retrieval-Augmented Generation)
AI

14 types of RAG (Retrieval-Augmented Generation)

Discover 14 types of RAG (Retrieval-Augmented Generation), their uses, pros and cons, and more.

Maya Shin
Maya ShinSeptember 2, 2025
Meilisearch is now SOC2 Type II compliant: A big step for trust and security
Company news

Meilisearch is now SOC2 Type II compliant: A big step for trust and security

We are bringing even stronger data security and trust to your search experience. Learn what this means for you.

Clémentine Urquizar
Clémentine UrquizarAugust 28, 2025
Introducing the Meilisearch Enterprise Edition license
Company newsCommunity

Introducing the Meilisearch Enterprise Edition license

Introducing the Meilisearch Enterprise Edition license

Quentin de Quelen
Quentin de QuelenAugust 27, 2025
Horizontal scaling with sharding
Using Meilisearch

Horizontal scaling with sharding

How sharding and replication distribute a Meilisearch index across several instances, and how to set up a cluster.

Laurent Cazanove
Laurent CazanoveAugust 26, 2025
9 advanced RAG techniques to know & how to implement them [2026]
AI

9 advanced RAG techniques to know & how to implement them [2026]

Discover 9 advanced RAG techniques for 2026 and learn which tools can help you implement them.

Maya Shin
Maya ShinAugust 21, 2025
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