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SOC 2 Type IIGDPR

Blog

Tutorials, product updates, and insights from the Meilisearch team

All postsAICommunityCompany newsCustomersEngineeringFuture of workMeet the teamMeilistarsReleaseState of search
Elasticsearch vs Qdrant (vs Meilisearch): Which search solution actually fits your needs in 2026?
State of search

Elasticsearch vs Qdrant (vs Meilisearch): Which search solution actually fits your needs in 2026?

Elasticsearch vs Qdrant comparison: Enterprise search vs AI vectors. Plus see why Meilisearch delivers fast, relevant search in <50ms without complexity.

Quentin de Quelen
Quentin de QuelenNovember 27, 2025
Retrieve and gain: Three RAG use-case patterns you can ship today
AI

Retrieve and gain: Three RAG use-case patterns you can ship today

Building real RAG systems isn’t about flashy demos – it’s about shipping features that stay fast, accurate, and reliable as your product grows.

Luis Serrano
Luis SerranoNovember 26, 2025
RAG vs. long-context LLMs: A side-by-side comparison
AI

RAG vs. long-context LLMs: A side-by-side comparison

Compare the key differences between RAG and long-context LLMs. See which approach best suits your needs, where to apply them, and more.

Maya Shin
Maya ShinNovember 25, 2025
Elasticsearch vs Pinecone (vs Meilisearch): Which search solution actually fits your needs in 2026?
State of search

Elasticsearch vs Pinecone (vs Meilisearch): Which search solution actually fits your needs in 2026?

Elasticsearch vs Pinecone comparison: complex enterprise search vs AI vector database. Or explore Meilisearch's hybrid approach for simplicity + performance.

Quentin de Quelen
Quentin de QuelenNovember 20, 2025
RAG indexing: structure and evaluate for grounded LLM answers
AI

RAG indexing: structure and evaluate for grounded LLM answers

Guide to what RAG indexing is, how it works, key strategies, when to refresh, and how to measure performance for grounded LLM answers.

Maya Shin
Maya ShinNovember 18, 2025
Algolia pricing guide: Is it worth the cost in 2026?
State of search

Algolia pricing guide: Is it worth the cost in 2026?

Algolia's complex pricing vs Meilisearch's transparency. Compare costs from free tiers to enterprise plans & see why many choose the simpler alternative.

Quentin de Quelen
Quentin de QuelenNovember 13, 2025
Meilisearch October updates
Company news

Meilisearch October updates

Your monthly recap of everything Meilisearch. October 2025 edition.

Maya Shin
Maya ShinNovember 12, 2025
We asked 100+ CTOs how long it takes to implement search. You're not gonna like the answer
State of search

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
Quentin de QuelenNovember 11, 2025
Algolia review: The enterprise giant meets the developer favorite, Meilisearch
State of search

Algolia review: The enterprise giant meets the developer favorite, Meilisearch

Algolia review: Powerful search-as-a-service with AI features & enterprise tools, but complex pricing. See why Meilisearch is the top alternative.

Quentin de Quelen
Quentin de QuelenNovember 6, 2025
Semantic search vs. RAG: A side-by-side comparison
AIState of search

Semantic search vs. RAG: A side-by-side comparison

Explore the differences between semantic search and RAG. Learn when to use each, common trade-offs, benefits, evaluations, and more.

Maya Shin
Maya ShinNovember 4, 2025
Algolia vs Typesense vs Meilisearch: Which search engine powers better developer experiences in 2026?
State of search

Algolia vs Typesense vs Meilisearch: Which search engine powers better developer experiences in 2026?

Algolia vs Typesense comparison: Enterprise features vs simplicity. Plus discover Meilisearch - AI-powered search with developer-friendly setup.

Quentin de Quelen
Quentin de QuelenOctober 30, 2025
RAG vs. prompt engineering: choosing the right approach for you
AI

RAG vs. prompt engineering: choosing the right approach for you

Explore the key differences between RAG and prompt engineering. See which approach best suits your needs, where to apply them, and more.

Maya Shin
Maya ShinOctober 28, 2025
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