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Understand

Context layer

Why shared operational context needs its own infrastructure layer.

Product overview

Create, inspect, retrieve, use, and operate connected context.

Architecture

See the data model, query surfaces, and deployment boundaries.

Build

Ingestion and live schema

Turn evolving payloads into typed, inspectable structure.

Graph and relationships

Preserve known links and review suggested patterns.

Semantic retrieval

Combine similarity, exact filters, and connected records.

Smart Search

Generate inspectable SearchQuery from natural language.

Operate

Query and analytics

Use one query shape across records, schema, and metrics.

Deployment options

Use managed cloud, an External Database, or self-hosted infrastructure.

Security

Review privacy, controls, and deployment posture.

Explore the product →

Primary workflows

Agent context and memory

Durable state, decisions, tool output, and semantic recall.

GraphRAG

Retrieve connected evidence, not only similar chunks.

Applications

Build operational software on connected context.

Operational analytics

Analyze current values, relationships, and change.

Solution patterns

Customer intelligence

Connect customer, product, support, and event data.

Search and discovery

Power semantic, faceted, and connected discovery.

Evidence and compliance

Keep operational evidence connected and inspectable.

Blueprints

Agent systemsConnected applicationsAnalytical systemsAll blueprints
Explore all solutions and blueprints →

Documentation

Concepts, tutorials, deployment, and API guides.

Quickstart

Create a project and run your first query.

TypeScript SDK

Type-safe access for browser and Node.js applications.

Python SDK

Sync and async access for services and data workflows.

MCP server

Expose RushDB operations to MCP-compatible clients.

Agent skills

Install task guidance for memory, querying, and modelling.

Open documentation →

Guides

Evergreen explanations and implementation paths.

Comparisons

Evaluate RushDB against graph, vector, and memory tools.

Blog

Product updates and technical articles.

Architecture

Understand the data path and current boundaries.

Changelog

Follow product and platform releases.

LMPG research

Separate the property-centric implementation from research direction.

Explore resources →

Contact

Discuss product, architecture, or enterprise requirements.

Security

Security, privacy, and responsible disclosure.

Open source

Review the source, open issues, and contribute.

Contact RushDB →
rushdb

Open-source context infrastructure for agents, applications, and analytics, with connected records, live schema, semantic retrieval, and operational queries through one API.

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Product

Context layerProduct overviewArchitecturePricingSecurityDeployment

Solutions

Agent contextGraphRAGApplicationsOperational analyticsBlueprint library

Developers

DocsQuick startAPI referenceTypeScript SDKPython SDKMCP serverAgent skills

Resources

GuidesComparisonsBlogChangelogOpen sourceContactSelf-hosting

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Latest Updates

RushDB Blog

Guides, fundamentals, engineering notes, product updates, and implementation blueprints for building AI memory and graph-backed applications with RushDB.

Tags

All tags 14rushdb 4graph database 3ai-agents 2database 2developer tools 2graph theory 2graph-database 2graphs 2instant database 2NoSQL 2agent-memory 1ai-architecture 1data normalization 1data-pipelines 1docker 1docker-compose 1dynamic-schema 1fullstack 1hybrid retrieval 1llm 1llm-applications 1neo4j 1RAG 1React 1React Hook Form 1ReactJS 1schema discovery 1schema-discovery 1semantic search 1tutorial 1typesript 1useForm 1vector search 1vector-search 1
vector searchgraph databasehybrid retrieval

Vector Search Doesn't Understand Data Structure

Embeddings rank similarity but ignore joins, cardinality, and constraints. Learn how RushDB combines semantic retrieval with explicit graph relationships and live schema discovery.

21st July 2026—15 min read
databasegraph databaseneo4j

Self-Hosted RushDB: Quick Setup

Learn how to run RushDB in self-hosted mode using Docker with either Neo4j Aura or a local container.

22nd February 2025
—6 min read
databasegraph databaseNoSQL

Introducing RushDB: Zero-Config Instant Database for Modern Apps & AI Era

RushDB is a zero-config, graph-powered instant database with bulk semi-structured data ingestion, automatic normalization, and powerful querying

17th February 2025—12 min read