
SpecialistWeb search API and crawler built for AI agents
Qdrant records 72,992 monthly visits with -38.4% month-over-month growth and Freemium, Contact for Pricing pricing. Shaped records 11,871 monthly visits with -39.2% growth and Contact for Pricing pricing.

The relevance engine with a built-in feedback loop
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | qdrant.io | shaped.ai |
| Pricing Model | Freemium, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 72.99K (72,992) | 11.87K (11,871) |
| MoM Traffic Delta | -45.42K (-38.4%) | -7.65K (-39.2%) |
| Primary Market & Share | 🇮🇳 India (46%) | 🇺🇸 United States (36.4%) |
| Direct Visits / mo | 43.79K | 4.73K |
| User Rating | 4.6 | 4.8 |
| Supported Platforms | Website | Website |
Open-source, high-performance vector search at any scale
Built entirely in Rust with SIMD and a custom Gridstore storage engine for fast, scalable vector search.
Combine dense and sparse vectors in one query, supporting BM25, SPLADE++ and miniCOIL for keyword-plus-vector retrieval.
Store metadata as JSON and apply advanced filters such as nested, text, geo and has_vector, with filters applied during HNSW traversal.
Asymmetric, scalar and binary quantization reduce memory usage by up to 64x while preserving search quality.

The relevance engine with a built-in feedback loop
Retrieve, filter, score, and re-rank across semantic search, keyword search, and behavioral models in a single SQL-like query.
Blends semantic and keyword retrieval, then re-ranks results by predicted click-through and engagement for each individual user.
ML models retrain on live interaction signals so ranking quality improves automatically as your product generates traffic.
Stream data directly from warehouses, analytics tools, and event pipelines like Snowflake, Kafka, BigQuery, and Shopify with no ETL.

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