NodeDB
Vector, Graph, Array, Columnar, KV - all in one database
NodeDB launched on May 1, 2026 with 36 votes, #806 of 20,538 launches that month and more than 95% of that year's launches.
What it does
One database for everything your app needs. Store user data, cache sessions, build AI search, and map relationships: all in one place. Instead of duct-taping Postgres, Redis, a Vector DB, and a Graph DB together, NodeDB gives you all of it in a single system.
NodeDB replaces 5 databases with 1 universal engine. Relational, vector, graph, document, columnar, and scientific array data in one Rust binary. Speaks the PostgreSQL wire protocol.
Stop wrestling with fragmented data silos. NodeDB natively combines relational, vector (AI), graph, document, columnar, and scientific array data into a hyper-efficient Rust architecture. Your existing Postgres client just works. -- Semantic retrieval + graph context for your LLM. One statement. GRAPH RAG FUSION ON entities QUERY $1 VECTOR_TOP_K 50 EXPANSION_DEPTH 2 EDGE_LABEL 'related_to' DIRECTION both FINAL_TOP_K 10 RRF_K ( 60.0 , 35.0 ) MAX_VISITED 1000 ; Vector DB + graph DB + ranker, fused in one query. No pipelines. No Python glue. This is GraphRAG at the database layer. Most AI product teams ship with Postgres + a vector DB + a graph DB + a cache + a search engine. That's five…from nodedb.bizapps24.com
Does a similar job
all alternatives →
LatticeDB – Like SQLite but for graph databasesAug 2026 · github.com · ▲190We have been using graph DBs more and more at work. I found them painful to work with locally and decided to try and build something better.
HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
Visualize database schemas with a single query2024 · github.com · ▲227Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)
Postgres as a VectorDB GUI2024 · github.com · ▲162Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.

Splitgraph - Build and share data with Postgres, inspired by Docker/Git2020 · splitgraph.com · ▲81EnterpriseDB (“EDB”), the leader in accelerating Postgres® in the enterprise, today announced its acquisition of Splitgraph, an early-stage disruptor that provides a Postgres compatible serverless SQL API for building data driven applications from hundreds of datasources. This move is seen as a mean
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