How to Build a Logistics Ontology: Orders, Shipments, Invoices
Build a logistics ontology that links orders, shipments, carriers and freight invoices, so each bill is checked against a delivered shipment and an agreed rate.
9 min read
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Agent Content
Technical guides and practical insights for building AI systems.
Porting Kuzu Node.js Code to HelixDB in TypeScript
Port a kuzu nodejs app to HelixDB: map Database and Connection to Client.embedded or Client.server, move reads and writes to the SDK, and send Cypher over /v2/cypher.
8 min read
Porting Kuzu Python Code to HelixDB: Connection to Query
Port your kuzu python app to HelixDB step by step: inventory Database and Connection code, map the schema, load data, run Cypher over HTTP, and rewrite the rest.
11 min read
How to Build an Insurance Ontology: Policies, Claims, Customers
Build an insurance ontology that links policyholders, policies, coverages, claims, payments and brokers across systems with Helix Foundry.
10 min read
Kuzu Cypher on HelixDB: Which Queries Run Unchanged
A query-by-query kuzu cypher migration: which Kuzu agent-memory queries run unchanged on HelixDB's openCypher profile at /v2/cypher, and which need the SDK.
9 min read
How to Build an Ontology From Scattered Company Data
How to build an ontology from Stripe, CRM, Postgres and spreadsheet data: start from decisions, define entities and links, match records, then try Helix Foundry.
8 min read
Entity Resolution for Knowledge Graphs Built by an LLM
A step-by-step entity resolution pipeline for LLM-built knowledge graphs: block, generate candidates, score on shared edges, link or merge, and keep evidence.
10 min read
How to Delete an AI Agent's Memory of a User
A seven-step guide to delete AI agent memory for one user: inventory stores, model provenance, cascade derived facts, delete vectors and text together, verify.
10 min read
Knowledge Graph RAG: How to Retrieve Over Entities and Edges
Knowledge graph RAG retrieves over entities and edges, not just top-k chunks. Build it step by step: seed retrieval, scoped edge expansion, context assembly.
10 min read
Open Source Vector Database: 8 Options and Their Licences
A licence-first ranking of eight open source vector databases: Milvus, Weaviate, Qdrant, pgvector, Chroma, LanceDB, OpenSearch and HelixDB, with self-host modes and filtering.
7 min read
Microsoft GraphRAG Output: Query It in a Live Graph Database
Load Microsoft GraphRAG parquet output (entities, relationships, community reports) into HelixDB so an agent can update and query it as a live graph.
9 min read
Best Way to Give AI Agents Memory: 8 Options Compared
Compare 8 ways to give AI agents memory: Mem0, Zep/Graphiti, Letta, LangGraph/LangMem, plus the stores underneath, from pgvector to HelixDB. Scored on 7 criteria.
9 min read
How to Evaluate AI Agent Memory: LongMemEval and LoCoMo
A step-by-step method for how to evaluate AI agent memory: split retrieval from answer quality, score by question type, and build a gold set from your own logs.
10 min read
Best Vector Database for RAG: 8 Options + When to Add Graph
The best vector database for RAG depends on your retrieval. Compare pgvector, Pinecone, Milvus, Weaviate, Chroma, Qdrant and Zilliz Cloud, plus when you need a graph.
8 min read
Open-Source Palantir Foundry Alternative for Ontologies
Looking for a Palantir Foundry alternative open source?
9 min read
LLM Memory Architecture: How Agents Remember Across Sessions
Build an LLM memory architecture step by step: context window, episodic, semantic and procedural stores, then similarity plus relationships in one graph-vector store.
10 min read
Best Graph Database for a RAG Pipeline: 8 Options Compared
The best graph database for RAG, ranked on seven criteria: one query across graph, vector and BM25, scoped pre-filtering, vector index location, OLTP fit and licence.
8 min read
Agent Memory Graph vs Vector Store for Multi-Hop Reasoning
Reproduce top-k vector recall failing on a multi-hop question, fix it with a graph traversal, then scope vector search to the neighbourhood. Runnable steps.
11 min read
When to Use a Knowledge Graph Instead of Embeddings
A measurement-first guide to when to use a knowledge graph instead of embeddings: tag eval questions by shape, measure recall, add a graph only where top-k fails.
11 min read
go-kuzu Replacement: Move a Go App to HelixDB
A step-by-step go-kuzu replacement guide: export your Kuzu graph, run most Cypher unchanged on HelixDB's /v2/cypher, and port the rest with the Go SDK.
11 min read
Code Knowledge Graph for Coding Agents: Build One
Build a code knowledge graph for coding agents: parse with tree-sitter, resolve call edges, embed functions, and run semantic search scoped to the call graph.
13 min read
Fraud Detection With Graph and Vector Search in One Query
Build fraud detection with graph and vector search as one scoped query: expand a flagged account's neighbourhood, rank by similarity, filter to recent activity.
12 min read
Recommendation Engine With Graph and Vector Search
Build a recommendation engine with graph and vector search: graph candidates, vector scoring, cold start and recency, first as two stores, then in one engine.
12 min read
How to Scale Agent Memory Horizontally Without Two DBs
Learn how to scale agent memory horizontally: measure read/write ratio, add replicas, cache hot subgraphs, partition by tenant, and drop the two-cluster setup.
11 min read
Alternatives to Neo4j: 4 Graph Databases for AI Memory
Alternatives to Neo4j compared: FalkorDB, Memgraph, HelixDB and LadybugDB on vector index size, Cypher support, licences and fit for AI memory.
10 min read
In-Memory vs Disk-Backed Graph Database for Agent Memory
In-memory vs disk-backed graph database for agent memory: size the vector working set, project growth, and check the RAM ceiling and restart time before you pick.
11 min read
Open Source Graph Database License for Commercial SaaS
Which open source graph database license for commercial SaaS lets you embed it? HelixDB, LadybugDB, Neo4j, Memgraph, SurrealDB and FalkorDB compared.
12 min read
How to Benchmark a Graph Database for AI Retrieval Accurately
Learn how to benchmark a graph database for ai retrieval using real query shapes, cold cache runs, memory tiering, and realistic GraphRAG workloads.
8 min read
Best Graph Database for Agentic Memory: Six Tests Before You Pick
Evaluating the best graph database for agentic memory? Run these six tests across Neo4j, Memgraph, FalkorDB, LadybugDB, and HelixDB before choosing.
8 min read
Low-Latency Graph Retrieval for AI Agents: Millisecond Bottlenecks
Diagnose slow context retrieval in your AI agent stack. Learn how to achieve low-latency graph retrieval for AI agents by fixing round trips and fan-out.
9 min read
Memgraph Alternatives for Agent Memory: When RAM Becomes the Limit
Evaluating Memgraph alternatives for agent memory? Compare Neo4j, FalkorDB, LadybugDB, and HelixDB on memory efficiency, indexing, and open source licensing.
8 min read
Graph Database on Object Storage: How Agent Memory Scales
Learn how running a graph database on object storage scales AI agent memory, cuts RAM costs, and handles vector indexes with smart caching tiers.
8 min read
Best Embedded Graph Databases Now That Kuzu Is Archived
Kuzu is archived, so which embedded graph database replaces it? We compare LadybugDB, HelixDB, Memgraph and Neo4j for agents, RAG and local apps.
8 min read
How to Build a Company Brain Knowledge Graph: Docs and People
Build a company brain knowledge graph across Slack, Notion, and Drive. Query docs, people, and decisions with HelixDB graph-vector retrieval.
10 min read
How to Give Claude Persistent Memory With Graph-Vector MCP
Learn how to give Claude persistent memory using a graph-vector database and MCP server. Stop relying on flat vector files and model real context.
10 min read
Embedded Graph Database for AI Agents: In-Process Setup
Build local-first AI memory with an embedded graph database for AI agents. Run HelixDB in TypeScript with in-process vector recall and graph traversal.
9 min read
Pinecone Alternative for Agent Memory: When Relationships Matter
Looking for a Pinecone alternative for agent memory? Discover why agents require graph relationships alongside vector search and how to pick the right engine.
8 min read
Self-Hosted Vector Database With Graph Queries: HelixDB in Docker
Run a self hosted vector database with graph queries in Docker using HelixDB. Configure storage, load vectors on graph nodes, and execute scoped queries.
8 min read
Migrate from FalkorDB: Move a GraphRAG Graph to HelixDB
Learn how to migrate from FalkorDB to HelixDB. Follow this source-first guide to capture schemas, batch export graph data, and rewrite Cypher queries in JSON.
9 min read
Migrate from pgvector: Moving Agent RAG Memory to Graphs
Learn how to migrate from pgvector to HelixDB. Keep embeddings intact, turn foreign keys into graph edges, and run hybrid graph-vector queries in one engine.
11 min read
Re-embedding Agent Memory After You Change Models
Learn how to handle re-embedding agent memory without downtime, maintain graph context, and migrate embedding models step by step across parallel indexes.
8 min read
Neo4j Vector Index Memory: Sizing Agent Memory Accurately
Calculate Neo4j vector index memory with the Lucene HNSW formula. Size agent memory, explore RAM limits, and see how HelixDB tiers storage.
9 min read
How to Combine BM25 and Vector Search in One Query for RAG
Learn how to combine BM25 and vector search for RAG. Avoid two-index drift, implement reciprocal rank fusion, and run hybrid queries in HelixDB.
9 min read
Kuzu Migration Guide: Moving an Archived Kuzu Graph to HelixDB
A step-by-step Kuzu migration guide to export your schema, Parquet files, and indexes, then load your graph into HelixDB for agent memory and GraphRAG.
9 min read
Deduplicate Entities in an Agent Memory Knowledge Graph
Learn how to deduplicate entities in an agent memory knowledge graph using blocking, scoped vectors, multi-signal scoring, and atomic merges in HelixDB.
10 min read
Multi-Tenant Agent Memory: How to Isolate per Tenant
Learn how to isolate multi-tenant agent memory in one graph-vector database using tenant-partitioned indexes, graph pre-filters, and clean boundary logic.
9 min read
How to Build People Search With a Knowledge Graph
Build a people search knowledge graph with embeddings and BM25 in HelixDB. Learn how to prefilter vector search by graph edges to stop lookalike misses.
9 min read
How to Query Agent Memory by Time Range Without a Full Scan
Query agent memory by time range without a full scan: index the timestamp, traverse from the user, and rank only that window with prefiltered vector search.
8 min read
Shared Memory for Multi-Agent Systems: One Graph to Query
Build shared memory for multi-agent systems using HelixDB. Store agent provenance, supersede outdated facts, and prefilter vector search over a single graph.
11 min read
HelixDB Alternatives: Neo4j, Memgraph, FalkorDB, LadybugDB
Weighing HelixDB alternatives for agent memory? See where Neo4j, Memgraph, FalkorDB and LadybugDB each win, and why storage decides the choice.
9 min read
Why Does Hybrid Search Return Fewer Results Than You Asked For?
Hybrid search returning fewer than k results is either post-filtering eating your top-k slots or a scoped query hitting its real candidate count.
13 min read
How Do I Let Claude Query My Database Directly with MCP?
Connect Claude to HelixDB Cloud over MCP: one endpoint, no database key, a tool set that differs for agents, and a write that can only be committed once.
8 min read
How to Build a Knowledge Graph From Meeting Notes
Learn how to build a knowledge graph from meeting notes. Extract typed entities, resolve speakers, and query decisions without losing context in HelixDB.
15 min read
Moving Off Memgraph: Migrating Agent Memory to HelixDB
Moving off Memgraph for agent memory? Audit your Cypher schema, export it cleanly, and rewrite retrieval so graph traversal, vector search and BM25 run in one query.
13 min read
Semantic Search Over Internal Documents Is Not Enough
Semantic search over internal documents misses answers that live in a relationship rather than a chunk. Here is what a graph-vector engine does instead.
11 min read
Open Source Graph Database Written in Rust: How HelixDB Is Built
HelixDB is an open source graph database written in Rust that runs graph traversal, vector search and BM25 full-text in one engine. Here is how it is built.
13 min read
How to Give AI Agents Persistent Memory in One Database
Give AI agents memory that survives restarts: model episodes as timestamped nodes and edges, then scope semantic recall to one user with a graph traversal.
13 min read
How to Build a GraphRAG Pipeline: From Documents to Scoped Retrieval
Learn how to build a GraphRAG pipeline to solve multi-hop Q&A. This guide covers entity extraction, graph modeling, and scoped retrieval using HelixDB.
10 min read
HelixDB vs LadybugDB: Picking a Graph DB After Kuzu
Kuzu is archived. LadybugDB is columnar and analytical, in-process or in the browser. HelixDB is OLTP agent memory with pre-filtered vector and keyword search.
11 min read
How to Migrate from Neo4j to HelixDB: A Migration Guide
Migrate from Neo4j to HelixDB: map the graph, export a checksummed snapshot, load it with replay-safe batches, translate your Cypher, and verify before cutover.
20 min read
Pre-Filtering Vector Search on Graph Edges: How to Scope ANN to Relationships
Learn how to scope vector search on graph edges for precise RAG. Move beyond flat ANN scans by filtering embeddings within specific relationships and subgraphs.
12 min read
HelixDB vs FalkorDB: Choosing a Graph Database for GraphRAG
HelixDB vs FalkorDB for GraphRAG: in-memory speed against object-storage scale. Compare pre-filtering, high availability, licensing and what each one costs.
16 min read
Vector Database vs Graph Database: What AI Memory Needs
An architectural comparison of vector vs graph databases for AI memory. Learn why HelixDB replaces the duct-taped RAG stack with a single Rust engine.
11 min read
HelixDB vs Memgraph: Which Graph Database for AI Memory?
HelixDB vs Memgraph: in-memory graph analytics against object-storage-backed agent memory. Which one actually scales, and what does each one cost to run?
19 min read
HelixDB vs Neo4j: Graph and Vector Search in One Engine
Compare HelixDB vs Neo4j for GraphRAG and agent memory. Learn why a unified Rust engine beats a bolted-on vector approach for high-performance AI applications.
13 min read
AI Agent Memory Architecture: Why Vector Search Is Not Enough
Learn why modern AI agent memory architecture requires knowledge graphs. Compare GraphRAG vs. vector search and see how HelixDB unifies both in one Rust engine.
11 min read