[HN Gopher] Show HN: Vpuna AI Search - A semantic search platform
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Show HN: Vpuna AI Search - A semantic search platform
Dear HN Community, I am a long time fan and first-time contributor.
I just launched a developer focused semantic search platform and
wanted to share it with the community. The idea is simple: upload
structured or unstructured documents, select the fields you want to
index and tag as metadata, and instantly get a clean search API you
can use in your own app. Here is what it currently supports: -
Manage your own tenants and projects - Upload .json and .txt files
(support for .pdf, .docx, .xlsx, .yml, etc. coming soon) - Expose
3 APIs: search, upload document (embeddings), and delete document
- Manage your own API keys - Uses CPU based sentence-
transformers/all-MiniLM-L6-v2 for embeddings ( support for other
local and online models are coming soon) LLM summarization and
Model Context Protocol (MCP) support are on the roadmap Why I
built it: In my consulting work, I kept seeing client wanting to
move beyond basic keyword search and integrate semantic search with
optional summarization. Most existing tools are either too
expensive, too restrictive, or require custom layers (like custom
Python servers for pre processing queries and embeddings). I wanted
something API first, developer friendly, and easy to self host or
use out of the box. This is the first release, and I would love
your feedback. Would you use this? What is missing for your use
case? Here is the README with all the links
https://github.com/vpuna/vpuna-ai-search Thank you for your time.
Author : vpuna
Score : 5 points
Date : 2025-06-20 17:54 UTC (5 hours ago)
(HTM) web link (aisearch.vpuna.com)
(TXT) w3m dump (aisearch.vpuna.com)
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(page generated 2025-06-20 23:02 UTC)