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
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Agent Content
Technical guides and practical insights for building AI systems.
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
Kuzu Alternatives in 2026: Embedded Graph Databases
Evaluating the best Kuzu alternatives for AI agents and RAG after the repository archive. Compare LadybugDB, HelixDB, Memgraph, and Neo4j.
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