Project Knowledge Graphv1.0.6

An engineering team works on multiple projects and needs to find all references to a specific technology like 'FalkorDB replication' across all project documentation. They use the knowledge graph to query by concept, retrieving relevant recaps, plans, and architecture docs regardless of project origin.

A company hires new developers who need to quickly understand patterns and decisions made across different projects. The knowledge graph enables them to search for topics like 'error handling' or 'API design' and see how various teams solved similar problems, accelerating their ramp-up time.

A research organization maintains multiple projects with extensive documentation. Researchers use the knowledge graph to find concepts like 'batch processing' or 'neural networks' across all project artifacts, enabling them to discover related work and avoid duplication.

During a post-mortem, a team needs to trace all discussions and decisions related to a specific feature (e.g., 'soft delete'). They query the knowledge graph to pull up all relevant recaps, feature plans, and architecture documents from across projects, providing a comprehensive view for the audit.

Offer a basic knowledge graph with limited projects (e.g., up to 2) for free. Charge a monthly subscription for unlimited projects, advanced query features (e.g., filtering by document type), and priority support.

Sell licenses to enterprises that want to deploy the knowledge graph on their own infrastructure, with additional features like LDAP integration, custom chunking strategies, and dedicated support. Pricing based on number of projects or users.

Host the knowledge graph as a SaaS platform, handling Docker setup, backups, and scaling. Charge based on storage (number of documents indexed) and query volume. Provide analytics dashboards on knowledge usage.