We asked 100+ CTOs how long it takes to implement search. You're not gonna like the answer
Poor docs, technical debt, and high expectations: why search is still a tough build, according to 100+ technical leaders.
Quentin de Quelen
Tutorials, product updates, and insights from the Meilisearch team
Poor docs, technical debt, and high expectations: why search is still a tough build, according to 100+ technical leaders.
Algolia review: Powerful search-as-a-service with AI features & enterprise tools, but complex pricing. See why Meilisearch is the top alternative.
Explore the differences between semantic search and RAG. Learn when to use each, common trade-offs, benefits, evaluations, and more.
Algolia vs Typesense comparison: Enterprise features vs simplicity. Plus discover Meilisearch - AI-powered search with developer-friendly setup.
Explore the key differences between RAG and prompt engineering. See which approach best suits your needs, where to apply them, and more.
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.