Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
Drive NornicDB from a Bolt client (neo4j-go-driver/v5 or any other Neo4j Bolt driver). Use when classifying retryable vs permanent errors, sizing UNWIND/MERGE batch writes, configuring connection defaults, or implementing retry logic against NornicDB. NornicDB speaks the same wire as Neo4j 5; this skill calls out the…
Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.
Tune NornicDB decay profiles via Cypher — pick half-life, function, threshold, floor, scoreFrom; diagnose suppression vs score-clamp confusion; build forgetting and consolidation curves. Use when adjusting halfLifeSeconds, visibilityThreshold, scoreFloor, function, scoreFrom, or building inverted-decay (idle-time…
Drive NornicDB over gRPC — the Qdrant-compatible surface (Collections, Points, Snapshots) plus the additive NornicSearch service. Use when ingesting via Qdrant SDKs, migrating from Qdrant, or running hybrid text+vector search from a non-Bolt client. Covers connection, RPC catalog, collection→database mapping…
Use NornicDB managed embeddings via Cypher — server-side embedding generation with WITH EMBEDDING, db.index.vector.embed, embedding providers (Ollama / OpenAI / local GGUF), property include/exclude, and the managed ChunkEmbeddings storage model. Use when the API surface is Cypher and you want NornicDB to embed text…
Migrate from Neo4j 5 to NornicDB end-to-end over Bolt. Covers schema replication (constraints + indexes including fulltext and vector), node and edge replication using hot-path UNWIND/MERGE shapes from the cookbook, label preservation strategy, what does and does not transfer, the cutover playbook. Points to runnable…
Boost or dampen scores for NornicDB entities using promotion profiles and promotion policies — multipliers, ON ACCESS mutations, WHEN predicates, Kalman-smoothed behavioral signals. Use when writing CREATE/ALTER/DROP/SHOW PROMOTION PROFILE / POLICY in Cypher, configuring access counters, or shaping reinforcement /…
Migrate from Qdrant to NornicDB end-to-end through NornicDB's Qdrant-compatible gRPC surface. Covers connection setup, collection→database mapping, point→node mapping, the vector-config and named-vector replication, point upsert in batches, count verification, and what (deliberately) does not transfer (snapshots, HNSW…
Build RAG pipelines in NornicDB using Cypher procedures — db.retrieve (hybrid vector + BM25 + RRF), db.rretrieve (retrieve + rerank), db.rerank (cross-encoder), db.infer (LLM call). Use when assembling end-to-end retrieval, reranking, or RAG flows from Cypher rather than hand-rolling vector and full-text procedures…
Run vector and full-text indexes from Cypher in NornicDB — CREATE/DROP VECTOR INDEX, CREATE/DROP FULLTEXT INDEX, db.index.vector.queryNodes / queryRelationships, db.index.fulltext.queryNodes, similarity functions, dimensions. Use when building semantic search, kNN, or BM25 lookups in NornicDB; the API is…
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