Tutorials, product updates, and insights from the Meilisearch team
Discover what agentic search is, why it beats one-shot RAG, and how to build production-grade search tools for your AI agents with @meilisearch/ai-sdk and the Vercel AI SDK.
Discover 10 of the best alternatives to OpenSearch alongside their key features, pricing, pros and cons (based on real users), integrations, and more.
Discover 10 of the best alternatives to Lucene alongside their key features, pricing, pros and cons (based on real users), integrations, and more.
Discover 13 RAG chunking strategies that help you optimize context windows, improve retrieval precision, and boost overall RAG pipeline performance.
Compare Meilisearch and Manticore across performance, scalability, features, and ease of use. Learn the strengths of each platform and choose the right search engine for your needs.
Discover how RAG for medical data grounds AI in trusted clinical sources to reduce hallucinations and improve healthcare outcomes.
Learn what context distillation is, how it works in large language models, and why it helps reduce prompt size, cost, and latency in modern AI systems.
Learn how query rewriting for RAG improves retrieval accuracy, reduces hallucinations, & boosts LLM-powered search, with practical implementation guidance.
France's classic car marketplace migrated from Algolia to Meilisearch Cloud, eliminating a hard sorting ceiling, cutting search costs, and removing all infrastructure overhead for a lean team with zero DevOps.
Learn how search relevance metrics like precision, recall, MAP, and nDCG are used to evaluate and improve ranking quality in modern search systems.
Learn what RAG guardrails are, why they matter, and how to use them to reduce hallucinations, protect data, and deploy trustworthy RAG systems in production.
Discover how RAG for structured data improves AI accuracy and how to implement it effectively.
