Iceberg DB launches Mumbai‑hosted vector DB
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/u/Tall_Bed_4324 has launched Iceberg DB, a vector database aimed at RAG and AI‑agent workloads, hosted in Mumbai’s ap‑south‑1 region to keep query latency below 20 ms for Indian users. The service offers a free tier that supports up to 100 k vectors, does not pause on inactivity, and requires no credit‑card for API‑key registration. Users can interact with the database via a Python SDK (pip install iceberg-db) and upload text or PDF files for server‑side embeddings, which are generated using FastEmbed’s 384‑dimensional MiniLM model. This setup allows developers to build low‑latency, cost‑free vector search capabilities directly within India without external infrastructure costs.
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- Reddit · r/SideProject精选在孟买搭建向量数据库，解决印度用户 200ms 延迟
作者在印度孟买搭建了 Iceberg DB，一个面向 RAG 和 AI 代理的向量数据库，免费层支持 100k 向量，查询延迟低于 20ms。入场只需在 https://icebergdb.in 注册 API key，使用 Python SDK（pip install iceberg-db）即可上传文本或 PDF 进行嵌入。
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