# Pinecone Vector Database with Marek Galovic

Page: https://stenobird.com/podcast/machine-learning-archives-software-engineering-daily/pinecone-vector-database-with-marek-galovic
Text version: https://stenobird.com/podcast/machine-learning-archives-software-engineering-daily/pinecone-vector-database-with-marek-galovic.md
Podcast: [Machine Learning Archives - Software Engineering Daily](https://stenobird.com/podcast/machine-learning-archives-software-engineering-daily)
Published: 2024-01-02T10:00:07+00:00
Episode link: https://softwareengineeringdaily.com/2024/01/02/pinecone-vector-database-with-marek-galovic/?utm_source=rss&utm_medium=rss&utm_campaign=pinecone-vector-database-with-marek-galovic
Audio file: https://traffic.megaphone.fm/SED5986680464.mp3
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/machine-learning-archives-software-engineering-daily/episodes/pinecone-vector-database-with-marek-galovic
Duration seconds: 2369

## Resource

An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to make data consumable by ML models. However, storing embeddings presents a challenge to traditional databases. Vector databases are designed to solve this problem. Pinecone has developed one of the most

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/machine-learning-archives-software-engineering-daily/episodes/pinecone-vector-database-with-marek-galovic/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/machine-learning-archives-software-engineering-daily/pinecone-vector-database-with-marek-galovic.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.