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Pinecone
4.6
(22)
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Pinecone Reviews & Product Details

Pinecone Overview
What is Pinecone?

Pinecone is a managed vector database designed specifically for handling vector embeddings in machine learning applications, enabling efficient similarity search at scale. It provides a simple API for storing and querying vectors, making it easier to build and deploy AI-powered applications that require fast and accurate vector similarity matching, such as recommendation systems, image retrieval, and natural language processing tasks.

Company Pinecone Systems Inc.
Year founded 2020
Company size 11-50 employees
Headquarters San Francisco, California, United States
Social Media
Linkedin | Twitter
Pinecone Categories on Findstack
N/A
Vector Database Software
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What Pinecone is best for?
How does Pinecone compare to PG Vector?
What are the pros and cons of Pinecone?
Pinecone Product Details
Capabilities
AI
API
CLI
Segment
Small Business
Mid Market
Freelancer
Enterprise
Deployment Cloud / SaaS / Web-Based
Support Chat, Email/Help Desk, FAQs/Forum, Knowledge Base
Training Documentation, Videos, Webinars
Languages English
Pinecone Features
ACID Compliance
Access Controls
Backup and Restore
Cloud Deployment Options
Customizable Dashboards
Data Compression
Data Import/Export
Data Sharding
Developer Tools
Distributed Architecture
Fault Tolerance
Full-text Search
Geospatial Data Handling
High Availability
Hybrid Deployment
Indexing
Integration APIs
Low Latency
Machine Learning Integration
Monitoring and Alerts
Multi-Model Support
On-Premises Deployment
Performance Metrics
Query Optimization
Real-time Data Processing
Replication
Scalability
Security and Encryption
Support for Vector Operations
User Management
Pinecone Integrations
See all 4 Pinecone Integrations
Disclaimer
Our research is curated from diverse authoritative sources and meant to offer general advice. We don’t guarantee that our suggestions will work best for each use-case, so consider your unique needs when choosing products and services. Feel free to share your feedback.
Last updated: November 23, 2024
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22 Pinecone Reviews
4.6 out of 5
Small Business (50 or fewer emp.)
Nov 16, 2023
 Source
Overall Rating:
4.0
AG
Verified Reviewer
Founder
Share
"Production-ready vector database to get you started quickly"
What do you like best about Pinecone?

- Good documentation and usage examples - Easy-to-use Python SDK - Production-ready with low latency at our scale (10-20M vectors) - Good integration with the AI/LLM ecosystem

What do you dislike about Pinecone?

- did not find an easy way to export all vectors that we needed for data science/cleaning - will get expensive when hosting 100s of millions of vectors

What problems is Pinecone solving and how is that benefiting you?

We use Pinecone as a vector database for retrieval augmented generation using LLMs.

Small Business (50 or fewer emp.)
Nov 15, 2023
 Source
Overall Rating:
4.0
AG
Verified Reviewer
Founder
Share
"Solid Hosted Vector DB"
What do you like best about Pinecone?

Ease of deployment! It takes just a few minutes to get an index set up and deployed.

What do you dislike about Pinecone?

The web-based API console could be improved, for example for experiments with metric (cosine vs dotproduct vs euclidean).

What problems is Pinecone solving and how is that benefiting you?

Storing embeddings for RAG.