CockroachDB
Vector Search for AI Applications
Vector search capabilities drive similarity search use cases in CockroachDB to enable customers to quickly find and rank the most relevant results across massive datasets with the speed, scale, and reliability of a distributed SQL database.
Built for the most common AI workloads
CockroachDB helps teams build and scale generative AI applications by combining vector search with operational SQL in one PostgreSQL-compatible distributed database. Use semantic search to ground RAG responses, deliver personalized recommendations, and give AI assistants relevant context—while keeping models, embeddings, and application data available, secure, and accessible with low latency across regions. Distributed scale, automatic query rerouting, and familiar PostgreSQL workflows reduce infrastructure complexity as data and demand grow.
Semantic search
Efficiently retrieve information through vector data types and similarity search functions as part of a Retrieval Augmented Generation (RAG) framework.
Recommendation systems
Store and manipulate vector data to provide personalized recommendations for users without the need for constant fine-tuning of models.
AI Assistants
Represent and query multi-dimensional vector data to enhance AI-driven language models by enriching user prompts with specific context.
Innovative distributed vector indexing
Purpose-built to take advantage of the resilience, geo-locality, and simplified operations delivered by distributed SQL
AI-ready, enterprise-proven data platform
Always-on availability for AI workloads
CockroachDB ensures high availability by rerouting queries automatically, preventing outages for AI applications. This guarantees real-time, uninterrupted access to critical datasets, including models, embeddings, and AI-driven insights.
Scalable and efficient AI data management
CockroachDB efficiently distributes massive quantities of AI-related data — such as embeddings and vector representations — across clusters. It supports advanced AI workloads like semantic search, NLP, and LLMs, allowing seamless scaling as models and datasets grow.
Optimized global access with low latency
Deploy AI applications and data across regions to achieve near-zero latency. CockroachDB ensures fast, consistent access to AI models, embeddings, and training data, improving response times and delivering accurate insights from anywhere in the world.
Secure, and unified AI data platform
CockroachDB ensures that AI data, including sensitive models and datasets, remain secure. It helps users comply with regional regulations. It integrates AI-centric workloads, like retrieval-augmented generation (RAG) and machine learning, with traditional SQL tasks, simplifying infrastructure and accelerating innovation.
Modern Postgres compatible workflows
Streamline application development with a fully Postgres compatible interface that enables organizations to leverage the rich Postgres ecosystem. Use CockroachDB along with Langchain, Postgres MCP servers, CSP services such as AWS Bedrock, and other agentic tools to accelerate AI development.
Start building applications with CockroachDB
Spin up a free CockroachDB Cloud cluster to experience limitless scale or contact sales to learn more about enterprise licensing.
