neumann-migrate

What problem does it solve?

Neumann migration guide removes the complexity and risk of moving relational tables, document collections, graph data, and vector indexes into a single unified Neumann instance by providing type mappings, batch import patterns, and verification steps to preserve data integrity.

Core Features & Use Cases

• Schema & Type Mapping: Maps common SQL, document, and graph types to Neumann types to preserve semantics during migration.
• Bulk Import Patterns: Provides multi-row INSERT, ENTITY BATCH, GRAPH BATCH, and EMBED BATCH strategies for efficient large-scale loading.
• Graph & Embedding Preservation: Shows how to convert nested documents into nodes and edges, and how to import embeddings and rebuild vector indexes.
• Safety & Verification: Recommends checkpoints, transactional chains, count verification, and index building after bulk loads.
• Use Case: Consolidate a PostgreSQL user table, related Neo4j relationships, and Pinecone embeddings into Neumann for unified querying and RAG workflows.

Quick Start

Migrate my PostgreSQL users table and associated embeddings into Neumann by mapping column types, running a small test batch, and then performing bulk inserts and embed batch imports while verifying counts.