
Zeet Blueprints for Vector Databases
Host a Vector Database in your cloud with one-click
Zeet Blueprints for Vector Databases launched on October 24, 2023 with 6 votes, #1,606 of 4,393 launches that month and more than 50% of that year's launches. The site was not reachable when checked in September 2026.
What it does
With the click of a button, deploy a fully managed vector database - no matter which cloud you’re on, how you want to host it, or what level of experience you have with Kubernetes. Zeet has native support for 7 popular vector databases, with more coming.
Does a similar job
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Host a Vector Database in your cloud with four-clicks2023 · zeet.co · ▲10Deploy a Vector Database to your cloud with Zeet's new Vector Database Blueprints. We've got a host of new Vector Databases for you that deploy directly to your cloud!
I built a vector database API on Cloudflare2024 · github.com · ▲101🦉⚡️Serverless, distributed vector database as an API - TimeSurgeLabs/athenadb
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.…
- VYVectorVFS, your filesystem as a vector database2025 · vectorvfs.readthedocs.io · ▲279
Postgres as a VectorDB GUI2024 · github.com · ▲162Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
VectorLiteDB – a vector DB for local dev, like SQLite but for vectors2025 · github.com · ▲13I built [VectorLiteDB (https://github.com/vectorlitedb/vectorlitedb) — a simple, embedded vector database that stores everything in a single file, just like SQLite. The problem: If you’re a developer building AI apps, you usually have two choices for vector search - Set up a server (e.g. Chroma, Weaviate) - Use a cloud service (e.g. Pinecone) That works for production, but it’s overkill when you just want to: - Quickly prototype with embeddings - Run offline without cloud dependencies - Keep your data portable in a single file The inspiration was *SQLite* during…
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