# Transcription Search

PINECONE SOLUTION

## Meeting Transcription _Search_

[Get a Demo](https://www.pinecone.io/meeting-transcription-contact/)

[Start Building](https://app.pinecone.io/)

![Hero](https://cdn.sanity.io/images/vr8gru94/production/4d4509b702f810282cb42cff8140a4f39f5abef2-760x620.svg)

## _Unlock the meaning_ behind the meeting

Pinecone offers a powerful platform for building search and AI capabilities on meeting recordings and videos. You can easily implement semantic search, automated summarization, complex concept tracking, intelligent conversational agents, and more. By unlocking your video data, Pinecone helps transform raw video into actionable insights.

## Typical Workload Characteristics

- 10K-10M: Namespaces
- 100-1000: Records per Namespace
- 10-100: Queries/month per Namespace

## Trusted _for scale_ in production

The world's most innovative companies are already in production with Pinecone.

USE CASE: Concept tracking across conversations

Gong selected Pinecone as the core database infrastructure for Gong's innovative AI system, Smart Trackers. It plays a crucial role in storing and processing vector embeddings,  enabling efficient tracking and classification of concepts within user  conversations. Through Pinecone, Gong achieves efficient vector  searches, empowering Smart Trackers to offer users precise and relevant  examples for concept tracking in conversations.

## Key resources

Learn how to leverage Pinecone’s vector database to transform video transcripts into high-dimensional vector representations and handle single-digit millisecond latency search across billions of vectors. You can easily incorporate rich metadata such as timestamps, thumbnails, and participants to provide a comprehensive, intuitive search experience.

[View Documentation](https://docs.pinecone.io/guides/get-started/overview)

### Video Context Search

Natural Language Processor for implementing similar video context search utilizing YouTube transcriptions.

[Learn More](https://www.pinecone.io/learn/youtube-search/)

### Multimodal Search

Reference architecture for searching across diverse data types—text, images, audio, and video—from a shared embedding space.

[Read Whitepaper](https://www.pinecone.io/learn/multi-modal-search/)

### Video Object Search

Microservices architecture for ingesting video content and transforming it into rich, searchable data.

[Read Whitepaper](https://www.pinecone.io/learn/series/kubernetes/scaling-ai-apps-kubernetes-and-pinecone-intro/)

## Transform videos into insights today

Unlock the full potential of video transcripts with content discovery, indexing, and AI-driven insights.

[Get a Demo](https://www.pinecone.io/contact/?contact_form_inquiry_type=Sales)

[Start Building](https://app.pinecone.io/)

[View this page on Pinecone](https://www.pinecone.io/solutions/meeting-transcription/)