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CLUSTER VOICE-ANSWERING-ENABLED · 4 ENTRIES · EARLIEST ENTRY 2026-08-14

Retrieval-augmented question answering

This cluster comprises retrieval-augmented generation systems for question answering, spanning voice-enabled assistants, multilingual platforms, and enterprise document intelligence with citations. The dated history before the index is too thin to discern a shape, with no dated entries prior to the index start, suggesting the cluster predates the index or has undated members. The traction leaders are Voice-Assistant-RAG and voice-rag-msmarco-xi with 2 stars each, followed by ask-my-docs with 0 stars.

Entry timeline

ENTRY TIMELINE

AUG 2026: 4
AUG 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 1 hand-coded · 3 unlabelled

Operator · 1 indie · 3 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01kosmos0★2 moliveindieVoice-based question answering system that retrieves verified source sentences across multiple languages.
  2. 02Voice-Assistant-RAG2★1 mo—hand-codedVoice-enabled multilingual question answering system using retrieval-augmented generation.
  3. 03voice-rag-msmarco-xi2★2 moliveVoice-based question answering system that retrieves answers from a multilingual dataset using vector search.
  4. 04RAGvision0★unknownliveAn AI application that enhances language model responses with vector-based retrieval.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.