SwarnDB

What it does

SwarnDB is a Rust vector database that adds a virtual graph layer and 15+ built-in vector math operations on top of HNSW search. Query vectors, traverse the relationships SwarnDB computes for you, and run analytics like k-means or PCA, all in one engine.

The data layer for AI with Vector, Graph and Vector-Math built into one single rust engine - SarthiAI/SwarnDB

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  HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237

  Hey 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.…

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  HelixDB – A graph database built on object storageJun 2026 · github.com · ▲159

  Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…

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  CozoDB, Hybrid Relational-Graph-Vector Database2023 · docs.cozodb.org · ▲137

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