Turso
SQLite-based database with native vector search capabilities built directly into the database without extensions. Based on libSQL fork of SQLite with support for DiskANN algorithm for approximate nearest neighbor search. This is a commercial solution with free tier available.
About this tool
Overview
Turso brings native vector search to SQLite through its libSQL fork, eliminating the need for separate vector databases. Vector Similarity Search is built in as a native feature with no extension required.
Key Features
- Native Integration: Vector datatype built directly into libSQL, skipping extension hooks
- Vector Types: Supports six vector types including FLOAT32, FLOAT16, FLOATB16, and 1-bit quantization
- Distance Functions: Dedicated vector functions like
vector_distance_cosfor similarity calculations - Vector Indexing: Special vector index using DiskANN algorithm for approximate nearest neighbors
- Hybrid Queries: Combine relational and vector data in complex queries
- Edge-Ready: Scale to millions of agents with unlimited databases
Use Cases
- RAG (Retrieval Augmented Generation) workflows
- AI apps requiring local-first architecture
- Recommendation engines
- Mobile applications with on-device inference
- Semantic search applications
Architecture
Built on libSQL, a SQLite fork that enables adding native datatypes and operations for vectors, providing better performance than extension-based approaches.
Pricing
Commercial solution with free tier:
- Free Tier: Available for development and small projects
- Paid Tiers: Based on usage and scale, contact sales for enterprise pricing
Loading more......
Information
Categories
Tags
Similar Products
6 result(s)AI data lake with revolutionary index-on-the-lake technology enabling sub-second queries from S3. Features 10x cost efficiency vs in-memory DBs and 2x faster than alternatives. This is a commercial platform with OSS components.
Qdrant Edge is a private beta offering of Qdrant optimized for edge and on-device deployments, enabling low-latency vector search and AI capabilities closer to where data is generated.
JaguarDB is a database solution, identified as a vector database in the context of the provided research.
A high-performance embedded database for edge devices and mobile, offering vector search capabilities for AI applications.
NucliaDB is a commercial vector database that enables semantic and vector search across unstructured data, supporting advanced AI and ML-powered applications.
Vector.ai offers commercial vector database solutions for efficient high-dimensional similarity search and machine learning applications.