zenisjanInterviews RAG — An Actor that answers questions about customer meeting notes using RAG. It searches a Pinecone vector store for relevant transcript chunks, ranks results by semantic similarity and recency, then generates answers. Runs in Standby mode as an HTTP service, exposing a /query endpoint.
Publisher description, verbatimNo changes seen in the last 7 days.
on Pinecone, by users in the last 30 days among actors classified to this platform.
No price, README, schema or grade changes in the last 30 days · followers get the next one by email.
The actors either side of #6 of 6, ranked by users in the last 30 days. Same platform, adjacent adoption — the comparable set.
| # | Actor | Grade | Price / 1k | Users /30d | Success | Rating | Age | Fresh | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | — | FREEfree | 34 total | — | — | 7m | fresh | ||
| 2 | — | FREEfree | 22 total | — | — | 7m | fresh | ||
| 3 | E | FREEfree | 177 total | — | 4.7 | 2.4y | stale | ||
| 4 | — | RES$0.71 /1k | 06 total | — | — | 5m | aging | ||
| 5 | — | EVT$1.00 /1k record-synced | 01 total | — | — | 40d | aging | ||
| 6 | — | FREEfree | 01 total | — | — | 9m | stale | This |
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