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Vec
Speak, and be answered out loud, in the language you spoke.
Your vector store can answer questions. It just can't talk.
A Pinecone index. A Postgres with pgvector. A dataset parked in HuggingFace.
Today you reach them with code. Vec lets you just ask — out loud.
https://voice-vec.vercel.app
Because Vec holds no corpus of its own. Nothing to ingest, no schema to match,
no data handed over. You connect your own store with your own keys, and the
question is answered from that.
→ Retrieve — Pinecone, Astra, or your own Postgres + pgvector
It reads your table's columns and builds the search from what it finds.
→ Compute — a HuggingFace repo, or any .csv / .parquet URL
Paste the link and it's answerable in SQL, over rows nobody embedded.
→ Act — Gmail, Slack, Notion, GitHub, via your own Composio project
"Check my inbox" stops being a question and becomes a call.
The agent is never handed a menu of what you own. It holds one tool and goes
looking — so the prompt grows with the question, not with your account.
All of it spoken in 22 Indian languages, answered in the one you asked in —
whatever language your index was written in. 1.9s from the moment you stop
speaking to the first audio out.
Open source. Every credential stays yours.
🎙️ https://voice-vec.vercel.app
💻 github.com/Hitesh-s0lanki/voice-vec
Connect your index and ask it something you'd normally write a query for.
#VectorDatabase #AgenticRAG #pgvector #VoiceAI #AIAgents #OpenSource
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About Vec on Product Hunt
“Speak, and be answered out loud, in the language you spoke.”
Vec was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #134 on the daily leaderboard. A voice interface that hears you in any of twenty-two Indian languages and answers out loud in the same one, grounded in the vector store you connect.
Vec was featured in Developer Tools (518.8k followers), Artificial Intelligence (477.9k followers), GitHub (41.4k followers) and Audio (2.1k followers) on Product Hunt. Together, these topics include over 234k products, making this a competitive space to launch in.
Who hunted Vec?
Vec was hunted by Hitesh Solanki. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Vec stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hitesh Solanki