Meilisearch vs Algolia
A comparison between the key features of Meilisearch and Algolia.
Carolina Ferreira
Tutorials, product updates, and insights from the Meilisearch team
A comparison between the key features of Meilisearch and Algolia.
Meilisearch 1.9 brings similar documents, ranking score threshold, grouping by attribute, and improved AI search.
On June 11, 2024, Meilisearch hosted a live event packed with product updates, sneak peeks, and roadmap discussions. If you couldn't make it, here's a quick recap of what went down.
Your monthly dose of Meilisearch updates. April 2024 edition.
The OCTO team chose Meilisearch for its client's complex needs due to the compatibility with the techstack and ease of implementation.
Meilisearch 1.8 brings negative keyword search, improvements in search robustness and AI search, including new embedders.
Your monthly dose of Meilisearch updates. March 2024 edition.
How we implemented incremental indexing in our vector store.
A comparative analysis of full-text search, vector search, and hybrid search.
Meilisearch 1.7 stabilizes ranking score details, adds GPU support for Hugging Face embeddings, and integrates the latest OpenAI embedding models.
Meilisearch's AI journey began last summer with vector search and storage. Today, we unveil hybrid search with autogenerated embedders, advancing our AI capabilities.
February 2024 updates from Meilisearch: upcoming launch event, vector embeddings explained, v1.6 upgrade, and new AI search features.