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@grackle-ai/knowledge

v0.75.0

Published

Knowledge graph subsystem for Grackle (Neo4j + vector search)

Readme

@grackle-ai/knowledge

Knowledge graph subsystem for Grackle — keeps AI agent context (tasks, findings, sessions, workspaces) synchronized into a Neo4j knowledge graph with vector embeddings for semantic search.

This package is the Grackle-specific integration layer on top of @grackle-ai/knowledge-core. It re-exports the full core SDK (connection management, node/edge CRUD, ingestion pipeline, semantic search, graph traversal) and adds reference node synchronization — the glue that keeps the knowledge graph in sync with Grackle's relational database as entities are created, updated, and deleted.

Install

npm install @grackle-ai/knowledge

Requires Node.js >= 22 and a running Neo4j 5.x instance with vector index support. See the @grackle-ai/knowledge-core README for Neo4j setup instructions.

How It Works

Grackle entities (tasks, findings, sessions, workspaces) live in SQLite. To make them semantically searchable and graph-connected, this package provides reference node sync: when an entity changes, a corresponding reference node in Neo4j is created or updated with a fresh embedding vector. This lets agents query the knowledge graph with natural language and discover related context across entity types.

The package also includes pure text-derivation helpers that produce consistent, embeddable text representations from entity data — ensuring that the same task or finding always generates the same embedding input format.

Relationship to @grackle-ai/knowledge-core

| Package | Role | |---------|------| | @grackle-ai/knowledge-core | Domain-agnostic graph SDK — Neo4j client, embedders, chunkers, search, traversal. Standalone, no Grackle dependency. | | @grackle-ai/knowledge | Grackle integration layer — re-exports the core SDK and adds entity-aware sync, lookup, and text derivation. |

If you are building on Grackle, use @grackle-ai/knowledge — it gives you the full core API plus Grackle-specific helpers in a single import. If you want a standalone knowledge graph library with no Grackle coupling, use @grackle-ai/knowledge-core directly.

License

MIT