Manticore Search

Meilisearch published a comparison of Meilisearch and Manticore Search. We tested the claims against the latest versions of both engines - here

A head-to-head benchmark on 975K 1536-dim vectors: turbopuffer

Released in Manticore Search 27.1.5, the new ONNX Runtime backend makes auto-embeddings 14 faster on average than the previous SentenceTransformers/Candle path on the same hardware, same model, same weights - and the margin holds whether you run 1 client

Run Manticore Search under systemd with accurate status reporting, cleaner reloads, journal-based logging, and safer shutdowns for RT workloads.

Three optimizations that speed up HNSW vector search by up to 29%: restructured graph traversal for better cache utilization, batched distance computations, and AVX-512 support.

Manticore Search 27.1.5 adds built-in authentication and authorization, introduces sharded tables, add conversational search, speeds up vector search, improves faceting and aggregations, and includes 65 fixes since 25.0.0.

How Manticore detects when HNSW search has converged and stops early, cutting distance computations by 50-80% with minimal precision loss.

How More Like This works in classic full-text search, what embeddings change, and why this kind of lookup is more convenient inside the search engine.

A practical walkthrough of building a search app with Manticore: autocomplete, typo tolerance, filters, facets, deep pagination, semantic search, and similar-item discovery in one flow.

A practical guide to solving glued-vs-spaced search queries like xt850 vs xt 850, with clear explanations of bigram_delimiter, second_numeric, second_has_digit, and reproducible examples.