State of search Full-text search vs vector search A comparative analysis of full-text search, vector search, and hybrid search.
State of search What are vector embeddings? In machine learning and AI, vector embeddings are a way to represent complex data, such as words, sentences, or even images as points in a vector space, using vectors of real numbers.
State of search What is a vector database? Vector databases are specialized systems to store, manage, and query data in the form of vector embeddings. They are optimized for similarity search, which involves finding the most similar items to a given query vector.
State of search Meilisearch vs Typesense Comparing the key features between open-source search engines Meilisearch and Typesense.
State of search How to deliver the best search results: inside a full text search engine Through an exploration of Meilisearch's inner workings, we'll uncover how modern search engines deliver accurate results at the speed of your keystrokes.
State of search When does Postgres stop being good enough for full text search? An overview of nine areas where Postgres full text search falls short compared to search-focused databases.
State of search Meilisearch vs Elasticsearch Picking the right search solution for a project is essential yet hard. Understanding their differences is crucial for making a choice.
State of search Navigating search results: pagination vs infinite scroll vs load more Learn about the different ways to navigate search results and which ones may work for you.
