Top Tweets for #RAGinGoa
cooked up Sonic!!
sub-200ms Voice RAG with zero lag. Next.js, LanceDB, Groq & Sarvam AI.
try it live: https://t.co/aXn0dN2Zwn
#RAGInGoa
just made the Voice Rag model for HackerHouse Goa hackathon
However we are not able to completed it but still done out best.
#hackathon
#RAGInGoa
Team Anant this side,
This is our: Voice RAG submission for HH Goa 2026 π
Talk in your language, let the system find the right context, and get a grounded answer back.
A project with a lot of fun building the full pipeline.
#RAGinGoa #HHGoa2026 #AI #RAG
Behind every idea is a process. β¨
Behind Vaani are three minds bringing that idea to life. ποΈπ
A glimpse into our journey, the teamwork, and everything happening behind the scenes.
@DipanSrimany @AbinashRay44627
#RAGINGoa #BuildInPublic #Teamwork #Innovation #VoiceAI
π΄Task 2 of HHGoa 2026
We built a voice-enabled RAG system that lets you interact with your knowledge base using your voice. ποΈπ€π₯ Try it out: https://t.co/3Lld0DlhwF
π» GitHub: https://t.co/l2HecsXaWi
#RAGInGoa #HHGoa2026 #AI #RAG #VoiceAI #BuildInPubli
Built and deployed my Voice RAG project!It takes voice input, converts it into text, retrieves relevant information, and generates an AI-powered response through a complete RAG pipeline. Sharing a quick demo of the project
#Ragingoa
Checkout - https://t.co/STIKd2ok7N Answers in your language, before you finish asking.... #RAGInGoa #HackerHouseGoa #HHGoa26
Synerge β our process behind a voice-enabled RAG system. From speech β retrieval β answer generation β built on MSMARCO-XI. Watch team workflow and learn how we engineered the pipeline. Demo & repo: https://t.co/Xi3eibeM80
#RAGInGoa
Every team build Projects.
Our team builds project and create more bugs than Features.π
Our Voice-Enabled RAG is live..
https://t.co/XndCeQYm6j
#RAGInGoa
Checkout - https://t.co/uAk6Zn2k5d
Answers in your language, before you finish asking....
#RAGInGoa #HackerHouseGoa #HHGoa26
ποΈ Mic β Sarvam STT β Embeddings β LanceDB β Groq β Sarvam TTS β π Audio
Built with Next.js, FastAPI, WebSockets & LanceDB.
3 builders. 9 days. One voice-first multilingual RAG system. π #RagInGOA
Now you could just ask your RAG a question instead of typing it...
Thatβs exactly what we built for Task 02 of #HHGoa2026.
Speak β Retrieve β Generate β Answer.
Hereβs the system running end-to-end.
#RAGInGoa
Link : https://t.co/lnJfqWbgqF
ποΈ Building RAG in Goa β a voice-first AI travel concierge for the HH Goa 2026 hackathon.
ποΈ Speak in Hindi, get grounded answers on beaches, shacks & itineraries
https://t.co/c2xO0c8mCa
#RAGInGOA
π RAGinGOA β Voice-first RAG for Goa 2026
Speak in English/Hindi/Hinglish β Get grounded answers from your docs.
ποΈ Sarvam STT | π§ FAISS + Gemini | π‘οΈ Guardrails
Full code + 49K index on GitHub.
π https://t.co/APjXXrC8Ap
#HHGoa2026 #VoiceAI #RAGInGoa
What started as βhow fast can we make a grounded voice RAG system?β turned into Anvaya ποΈ
We (me and @sankalphs) experimented with retrieval, streaming STT, guardrails, extractive fast paths and model fallbacks to get here.
Live demo π
https://t.co/4isZGZ2twv
Still a lot to improve β but pretty happy with what we built :)
#RAGInGoa
Synerge β our process behind a voice-enabled RAG system. From speech β retrieval β answer generation β built on MSMARCO-XI. Watch team workflow and learn how we engineered the pipeline. Demo & repo: https://t.co/Xi3eibeM80
#RAGInGoa
@247pmstudio RAG could actually listen and talk back?
we built for Task 02 of #HHGoa2026.
Link - https://t.co/Sgc27jBG46
Process video link - https://t.co/gNRuK1vsEn
Demo video - down below
#RAGINGoa
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