Pinecone

Name: Pinecone
Rating: 4.9 (67 reviews)

Build knowledgeable AI

4.9•67 reviews•

487 followers

Build knowledgeable AI

4.9•67 reviews•

487 followers

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Databases and backend frameworks

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AI Infrastructure Tools

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Cloud Computing Platforms

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AI Databases

A vector database that makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

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Pinecone Launches

Pinecone Assistant API service for grounded chat and agent-based applications

Launched on January 23rd, 2025

Pinecone Serverless Build remarkable AI applications

Launched on January 17th, 2024

Do you use Pinecone?

4.9

Based on 67 reviews

Review Pinecone?

Reviews praise Pinecone’s speed, reliability, and straightforward developer experience—especially for RAG, semantic search, and large-scale workloads. Makers of

Magic Patterns

CustomGPT

, and

Shortwave

highlight smooth serverless operations, low latency, and easy scaling across heavy, real-time use cases like visual search and high-concurrency apps. Users echo the simple API, fast onboarding, strong documentation, and solid performance under load. A minority note the lack of a self-hosted/open-source option. Overall, Pinecone earns high marks for cost-effective scalability and dependable vector search.

+64

Summarized with AI

Pros

scalability (11)

ease of use (8)

high-performance vector database (8)

AI integration (6)

efficient vector search (5)

cost effective (4)

fast performance (4)

serverless architecture (2)

Pros

Cons

Reviews

All Reviews

Most Informative

used

Pinecone

to build Lambda

•3 reviews

We rely on Pinecone to enhance Lambda's AI-driven data insights and semantic search capabilities. Its scalable and efficient vector database allows us to manage and query large datasets with precision, enabling intelligent search and personalized recommendations.

Report

8 views1yr ago

•3 reviews

High-Performance Vector Database: Pinecone is optimized for handling vector embeddings, making it ideal for machine learning and AI applications that require fast and efficient similarity search. Scalability: Pinecone is designed to scale effortlessly, allowing users to manage large datasets and high query loads without compromising performance. Ease of Use: Pinecone offers a simple API and managed service, reducing the complexity of deploying and maintaining a vector database, which is particularly beneficial for developers and data scientists.