Graphiti, FalkorDB, Neo4j, GraphRAG, and entity extraction. 10 articles, written by the engineers building AI App Lab.
Graphiti tutorial 2026: temporal knowledge graphs, episodes, bi-temporal edges, entity resolution, edge invalidation, hybrid search, Neo4j/FalkorDB, MCP server, agent memory, add_episode, and production checklist.
pgvector knowledge graph hybrid 2026: pgvector HNSW IVFFlat, Apache AGE Cypher, recursive CTE graph traversal, hybrid retrieval RRF fusion, single PostgreSQL for vectors and graphs, and production checklist.
Entity extraction LLM 2026: spaCy vs GLiNER vs LLM structured output. Zero-shot NER, relation extraction, GLiREL, LLMGraphTransformer, hybrid pipeline, F1 benchmarks, confidence thresholds, and production checklist.
FalkorDB vs Neo4j 2026: sparse matrix vs index-free adjacency, ultra-low latency, multi-graph tenancy, GraphRAG-SDK, OpenCypher, vector index, Bolt protocol migration, LangChain LlamaIndex, Docker, and developer checklist.
Cypher query tutorial 2026: MATCH, CREATE, MERGE, WHERE, RETURN, multi-hop traversal, shortest path, vector search, GraphRAG retrieval, Python neo4j driver, FalkorDB OpenCypher, and developer checklist.
Build knowledge graph from documents: LLM entity extraction, SchemaLLMPathExtractor, Neo4j Cypher upsert, LangChain LLMGraphTransformer, chunking, embedding, hybrid retrieval, and production checklist for 2026.
GraphRAG tutorial 2026: Microsoft GraphRAG community detection, LightRAG dual-level retrieval, Neo4j hybrid. Global vs local vs DRIFT search, indexing cost, token economics, Python API, and production checklist.
Neo4j Python tutorial 2026: GraphDatabase driver, sessions, transactions, execute_write, async, connection pool, neo4j-graphrag, LangChain, LlamaIndex, vector index, Docker, and production checklist.
FalkorDB Docker 2026: docker-compose production setup, persistent volumes, AOF durability, multi-graph tenancy, FalkorDB Browser, clustering, GraphRAG-SDK, Python client, and deployment checklist.
Knowledge graph explained: entities, relationships, triples, property graph vs RDF, Neo4j vs FalkorDB, GraphRAG vs vector RAG, Cypher queries, LLM extraction, schema design, and developer checklist for 2026.