Meilisearch latest news and company updates
Self-RAG explained: how self-reflective retrieval boosts AI outputs
Learn what self-RAG is, how it works, and why self-reflective retrieval-augmented generation reduces hallucinations and improves reliability in LLM systems.
The Good, the Bad, and the Leaky: jemalloc, bumpalo, and mimalloc in Meilisearch
The good, the bad, and the leaky: jemalloc, bumpalo, and mimalloc in Meilisearch
How to build and optimize RAG in AI for reliable answers
Learn how RAG in AI works in practice, how to improve retrieval relevance, evaluate quality, secure data, and keep results up to date in production.
How Samtec modernizes product search with Meilisearch
How this global electronics manufacturer elevates product discovery with faster, more relevant search at scale
Patching LMDB: how we made Meilisearch’s vector store 3× faster
We patched LMDB to support nested read transactions on uncommitted writes - eliminating full database scans and making Meilisearch's vector store 3× faster
Meilisearch March updates
Your regular recap of all things Meilisearch. March 2026 edition.
What is an index file and why does it matter in modern computing?
Learn what an index file is, how it works, where it’s used, and why it’s essential for fast data retrieval in systems like databases and search engines.
What are specialty search engines and why do they matter?
Learn what specialty search engines are, how they work, and why they offer more relevant, focused results for specific industries, tasks, and user needs.