Build Real-Time Knowledge Graph for Documents with LLM
a year ago
- #knowledge-graph
- #Neo4j
- #LLM
- CocoIndex enables building and maintaining knowledge graphs with continuous updates.
- Process documents to extract relationships using LLM, focusing on subjects, objects, and mentions.
- Prerequisites include PostgreSQL, Neo4j, and an OpenAI API key or Ollama for local LLM models.
- Documentation is available for Property Graph Targets in CocoIndex.
- Data flow involves adding documents as sources and using collectors for documents, relationships, and mentions.
- LLM extracts summaries and relationships from documents, structured into data classes.
- Neo4j is used to build the knowledge graph, with nodes for Documents and Entities, and relationships between them.
- Export relationships and mentions to Neo4j, configuring connections and mappings.
- Query and test the index using CocoInsight for troubleshooting and data lineage.
- Explore the knowledge graph in Neo4j Browser with pre-configured credentials.