Tutorials, product updates, and insights from the Meilisearch team
Algolia vs Elasticsearch comparison: Premium managed service vs open-source flexibility. Explore Meilisearch as the balanced alternative.
A practical guide comparing GraphRAG and Vector RAG: how they work, key differences, pros/cons, top tools, and when to combine them for better answers.
New in Meilisearch: Conversational AI, search personalization, multimodal, and more
Introducing resource-based pricing for Meilisearch: Choose your CPU and RAM, pay for what you provision, and scale with confidence.
Introducing Meilisearch Chat: turn your Meilisearch index into a conversational AI with a single /chat endpoint. Faster launches, lower costs, and direct answers your users actually want.
Discover the main differences between retrieval-augmented generation (RAG) and cache-augmented generation (CAG), and which one is best for you.
Discover how to build RAG applications in Ruby with this developer’s guide, covering essentials, tools, step-by-step setup, and how Ruby compares to Python.
Step-by-step guide to building RAG applications with Ruby on Rails, covering core concepts, pitfalls, and best practices for production-ready AI apps.
Your monthly recap of everything Meilisearch. September 2025 edition.
Discover what RAG evaluation is, what methodologies, frameworks and best practices are used, how to implement it and more.
A guide to modular RAG. Discover what it is, how it works, its advantages and disadvantages, how to implement it, and much more.
