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Hey, here's a recap of everything that happened at Meilisearch during April.
🚀 Meilisearch 1.14
Meilisearch 1.14 improves AI search with composite embedders and embedding cache. It also adds granular filterable attributes and batch document retrieval by ID.
📰 In the news
🔢 Why you shouldn't use a vector database for RAG
The contrarian take on building better retrieval augmented generation systems.
⚙️ What is full-text search, and how does it work?
Learn the inner workings of a full-text search engine.
🎙️ Coruzant podcast with Quentin de Quelen
Listen to our CEO discuss his entrepreneur journey and all things Meilisearch.
🔝 Top 10 alternatives to Elasticsearch
Discover their key features, pricing, pros, and cons based on users feedback.
🔍 What is federated search?
Discover the different types of federated search, and their benefits and challenges.
🤗 Made with Meilisearch
Agora uses Meilisearch hybrid search to provide instant search results across various data sources to build a fast and intuitive ecommerce experience.
We’re always looking to promote new projects from the community. Post yours in the #built-with-meilisearch Discord channel!
Receive this updates in your inbox by subscribing to our monthly newsletter. To learn more about Meilisearch's future and help shape it, take a look at our roadmap and participate in our Product Discussions.
For anything else, join our developers community on Discord.
