Alternatives
Products that do what SwarnDB does
Vector database that thinks in graphs
- 1HO
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.…
2025 · github.com
- 2HA
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…
Jun 2026 · github.com
- 3CH
Hi HN! We're thrilled to share CozoDB v0.6, a monumental update to our FOSS database, which already unifies relational and graph features. With the addition of vector search, CozoDB becomes an even better companion for LLMs like ChatGPT. This release introduces vector search using HNSW indices within Datalog, enabling seamless integration with powerful features such as ad-hoc joins, recursive Datalog, and classical whole-graph algorithms. This update significantly broadens CozoDB's capabilities. Check out the linked release note for an in-depth look at the new features, comparisons to other…
2023 · docs.cozodb.org
- 4
- 5
- 6EA
2021 · github.com
- 7TA
2024 · github.com
- 8VY
2025 · vectorvfs.readthedocs.io
- 9
- 10HN
Hey HN! We're college friends building HelixDB. It's a database that natively supports both graph and vector types. It’s designed for AI-driven apps like RAG, vector search, code indexing, and agent frameworks where you need both explicit relationships and similarity. We came up with the idea for Helix at university, while building a graph database as a side project in Rust. Reading some research papers on RAG setups, I realised there was a lot of infrastructure setup to get started. You need your own server, a graph database, a vector database and then some bespoke middleman software to…
2025 · github.com
- 11
- 12
We 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.
12d ago · github.com
- 13AF
2024 · github.com
- 14GA
Hi all, I've talked about glidesort a few times on HN already, but it's finally ready for release. If you have any questions, feel free to ask. An academic paper on glidesort that goes into a lot more detail than the readme is upcoming, but is not ready yet. I will be giving a talk on glidesort tomorrow at FOSDEM 2023 in the Rust Devroom at 16:10, you can seek me out there as well. In other news, I am leaving academia soon, so if you have interesting (Rust) jobs the coming months feel free to approach me.
2023 · github.com
- 15VA
Hi HN, I built VectorDBZ, a cross-platform desktop app for exploring and analyzing vector databases like Qdrant, Weaviate, Milvus, and ChromaDB. It lets you browse collections, inspect vectors and metadata, run similarity searches, and visualize embeddings without writing custom scripts. GitHub (downloads and issues): https://github.com/vectordbz/vectordbz Feedback welcome. If it’s useful, starring the repo helps keep me motivated. Thanks.
Jan 2026 · github.com
- 16
- 17
- 18MA
2024 · github.com
- 19LA
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://github.com/lanterndata/lantern We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search. There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding…
2023 · docs.lantern.dev
- 20EO
Hey HN! We are building Epsilla (https://github.com/epsilla-cloud/vectordb), an open-source, self-hostable vector database for semantic similarity search that specializes in low query latency. When do we need a vector database? For example, GPT-3.5 has a 16k context window limit. If we want to let it answer a question about a 300 page book, we cannot put the whole book content into the context. We have to choose the sections of the book that are most relevant to the question. Vector database is specialized at ranking and picking the most relevant content from a large pool…
2023 · github.com
- 21
- 22TA
2020 · terminusdb.com
- 23SG
2020 · github.com
- 24IB
2024 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →