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AI-Powered discovery: how MotionElements elevates creators

AI-Powered discovery: how MotionElements elevates creators

MotionElements chose Meilisearch for faster search performance, improved accuracy, and higher engagement.

Maya Shin
Maya Shin17 Mar 2025
Hybrid Search 101: how it works and why It's important

Hybrid Search 101: how it works and why It's important

Understand what hybrid search is, how it works, its benefits and limitations, how to start implementing it, and more.

Ilia Markov
Ilia Markov13 Mar 2025
Neural search: Definition, how it works, benefits and more

Neural search: Definition, how it works, benefits and more

Learn what neural search is, how it works, discover its benefits and drawbacks, and see how it compares with other types of search.

Ilia Markov
Ilia Markov11 Mar 2025
What is semantic search? How it works, use cases & more

What is semantic search? How it works, use cases & more

Learn what semantic search is, how it works, what are its key applications, its pros and cons, how to implement it & more.

Ilia Markov
Ilia Markov04 Mar 2025
10 of the best Algolia alternatives [With features, pricing & more]

10 of the best Algolia alternatives [With features, pricing & more]

Discover the best alternatives to Algolia alongside their key features, pricing, pros and cons (based on real users), integrations, and more.

Ilia Markov
Ilia Markov27 Feb 2025
Introducing Meilisearch's next-generation indexer: 4x faster updates, 30% less storage

Introducing Meilisearch's next-generation indexer: 4x faster updates, 30% less storage

Indexer edition 2024 revolutionizes search performance with parallel processing, optimized RAM usage, and enhanced observability. See what's new in our latest release.

Louis Dureuil
Louis Dureuil26 Feb 2025
What is latent semantic indexing (LSI) and how does it work?

What is latent semantic indexing (LSI) and how does it work?

Learn how LSI works under the hood, see a practical Python implementation, and discover why this foundational technique remains relevant in today's AI-driven search landscape.

Ilia Markov
Ilia Markov25 Feb 2025
How we made Meilisearch talk to AI: introducing our MCP server

How we made Meilisearch talk to AI: introducing our MCP server

We've built a bridge between Meilisearch and AI assistants using the Model Context Protocol (MCP), enabling developers to manage search infrastructure through natural language.

Thomas Payet
Thomas Payet19 Feb 2025
Meilisearch 1.13

Meilisearch 1.13

Meilisearch 1.13 stabilizes AI-powered search, introduces remote federated search—laying the groundwork for sharding—and makes version upgrades easier.