About
Hear about my hard-won lessons from loading a large-scale book dataset into Neo4j with Ollama embeddings, plus a preview of exciting new vector search features.
Highlights:
Data Loading Battle Stories
Fixing Ollama OpenAI endpoint issues (drop the /v1 suffix!)
Choosing embedding models with adequate context windows (nomic-embed-text: 8,192 tokens)
Optimizing batch sizes and memory configuration
Using EXPLAIN to identify and eliminate Cypher eager operations
Error handling with ON ERROR CONTINUE for partial loads (achieved 83% coverage)
Neo4j 2026.01 Preview: Vector Search with Filters Three new approaches that combine vector search with Cypher filtering in a single query:
Vector Search + Keyword Filters
Cypher After Vector (post-filtering GraphRAG)
Cypher Before Vector (pre-filtering on subgraphs)
No more two-step application logic for Graph RAG!
Context Graph demo app:
Level of detail and perspectives you can view of the context graph and interactions with agents
Event
I will be at Jfokus in Stockholm next week!