Search

$text and MongoDB Search with indexes that see every committed write.

TeselaDB implements $text and MongoDB Search (formerly Atlas Search): $search, $searchMeta, the search index commands and their operators, analyzers, synonyms and field types. You do not need a separate process: the indexes live on the same nodes as the data.

Create an index and search

JavaScript

db.articles.createSearchIndex({
  name: "default",
  definition: { mappings: { dynamic: true } },
});

db.articles.aggregate([
  { $search: { text: { query: "automatic replication", path: ["title", "body"] } } },
  { $limit: 10 },
  { $project: { title: 1, score: { $meta: "searchScore" } } },
]);

What changes from MongoDB

Search indexes are consistent: a search sees the writes committed before it. In MongoDB they can take a while to appear.
Scores use the statistics of the whole collection, even when it is split over many ranges, and are the same on every replica. They match those of a MongoDB replica set with the same documents.

Classic text

$text with a text index works as in MongoDB, with its score ($meta: "textScore").

For semantic search with vectors, see Vector search.

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