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myscale.com
MyScale is a SQL-native vector database combining MSTG vector indexes (configurable metrics) and BM25 full-text search for semantic and lexical retrieval, supporting SQL–vector joins, metadata filtering, fast ingestion, observability, SDK integrations, and SQL-based RBAC.
Use Cases
- 🧩 Fully SQL-compatible vector database supporting SQL-vector join queries and text-to-SQL.
- 🧩 MSTG vector engine and VECTOR INDEX (e.g., MSTG with metric_type=Cosine) for optimized vector indexing and search.
- 🧩 Fast vector search, text search, filtered search, and complex SQL queries (e.g., distance ordering and limits).
- 🧩 Powerful full-text search with BM25 relevance ranking and configurable tokenizers.
- 🧩 Deep integrations and observability: language SDKs, framework integrations, MyScale Telemetry for LLM observability and data import/export.
- Free pod plan : $0
- Capacity-optimized plan : $0
- Standard plan : starting from 68/mo
- 🟢 Build a high-performance retrieval-augmented generation pipeline with MyScale to combine semantic vector search and BM25 lexical ranking using SQL–vector joins, enabling fast, scalable document retrieval with metadata filtering and SQL-based RBAC for secure production deployments.
- 🟢 Ingest and index millions of enterprise documents into MyScale using fast ingestion and MSTG vector indexes with configurable metrics, then run hybrid semantic+lexical searches via SQL to power knowledge search, customer support, and internal knowledge bases with observability and SDK integrations.
- 🟢 Implement a hybrid search feature for your application by using MyScale's BM25 full-text search alongside vector similarity, perform SQL-based joins to enrich results with relational data, and apply SQL-based RBAC and monitoring to ensure secure, auditable search in multi-tenant SaaS products.