Base de datos vectorial gestionada para búsqueda semántica en tiempo real y coincidencia por similitud a escala.
Casos de uso16
Empresas14
Industrias7
Casos de IA con Pinecone
1
How Aquant Uses Pinecone to Cut Service Resolution Time 49%
Aquant · Operations
98%+
Retrieval accuracy
98%+Retrieval accuracy
2
How Terminal X Uses Pinecone to Cut Retrieval Latency by 35%
Terminal X · Research & Development
0.68 to 0.91
F1 retrieval accuracy improvement
0.68 to 0.91F1 retrieval accuracy improvement
3
How InpharmD Uses Pinecone & RAG to Boost Clinical Query Accuracy by 70%
InpharmD · Operations
80%
Data Storage Cost Savings
80%Data Storage Cost Savings
4
How Chipper Cash Uses Pinecone Vector Search to Stop Fraud in Real-Time
Chipper Cash · Software Engineering
95%+
Selfie verification accuracy
95%+Selfie verification accuracy
5
How ZoomInfo Uses Pinecone to Deliver Real-Time Contact Recommendations at Scale
ZoomInfo · Sales
>50%
Increase in user engagement
>50%Increase in user engagement
6
How CustomGPT.ai Uses Pinecone to Serve 10,000+ Customers with Sub-20ms RAG
CustomGPT.ai · Software Engineering
>400M
Vectors stored
>400MVectors stored
7
How Allspice Uses Pinecone to Achieve 97% Ingredient Matching Accuracy
Allspice · Product Development
20% → 97%
Ingredient matching accuracy
20% → 97%Ingredient matching accuracy
8
How TaskUs Reduces Handle Time 20% with Pinecone-Powered TaskGPT
TaskUs · Customer Service
20%
Average handle time reduction
20%Average handle time reduction
9
How Allspice Improved Ingredient Matching from 20% to 97% with Pinecone
Allspice · Product Development
20% → 97%
Ingredient matching accuracy
20% → 97%Ingredient matching accuracy
10
How Delphi Scales to 100M+ Vectors at 100ms Latency with Pinecone
Delphi · Software Engineering
>100M
Vectors stored
>100MVectors stored
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Modelos usados con
Gemini 3.5 Flash
Google's fast reasoning model with a 1M-token context for text, image, video, audio, and document inputs.
Usado frecuentemente con
AWS
Amazon's cloud computing platform providing on-demand infrastructure, storage, and managed services at global scale.
Canopy
Open-source RAG framework by Pinecone Systems for building production-grade retrieval pipelines.
Sherlock
AI clinical assistant by InpharmD that answers drug information queries using evidence-based sources.
Amazon Bedrock
Fully managed service for accessing foundation models from leading AI companies via AWS.
Google Cloud
Comprehensive cloud platform by Google offering compute, storage, AI, and data services at scale.
ConvNet (Convolutional Neural Network)
Convolutional neural network architecture for generating image embeddings used in visual similarity search.
Facial Similarity Service (FSS)
In-house embedding and facial similarity service by Chipper Cash for biometric fraud detection.
Snowflake
Cloud data warehouse by Snowflake for storing, querying, and sharing structured and semi-structured data.
Empresas
Empresas que usan esta herramienta en casos documentados.
Vendor
Pinecone
pinecone.ioEmpresas
Empresas que usan esta herramienta en casos documentados.
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