Pinecone

Build knowledgeable AI

4.9•67 reviews•

514 followers

Build knowledgeable AI

4.9•67 reviews•

514 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.

Pinecone Reviews

The community submitted 67 reviews to tell us what they like about Pinecone, what Pinecone can do better, and more.

4.9

Based on 67 reviews

Review Pinecone?

Reviews praise Pinecone’s speed, reliability, and painless scaling, with developers citing straightforward APIs and strong managed operations. Several note the initial learning curve but say onboarding pays off quickly, and serverless options help cut costs. A minority criticize the closed-source, SaaS-only model and limited index flexibility, opting for Milvus instead. Founder feedback from the makers of

Magic Patterns

Shortwave

, and

CustomGPT

underscores robust performance at scale, smooth integration into production stacks, and dependable similarity search for AI and RAG-style workloads.

+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 MeetMinutes

•6 reviews

Specifically built to handle vector embeddings, we have ensured high performance in MeetMinutes with Pinecone.

What's great

high-performance vector database (8)

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1yr ago

used

Pinecone

to build Nia

•18 reviews

One of the best vector databases and easy to work with.

What's great

ease of use (8)high-performance vector database (8)

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1 view1yr ago

used

Pinecone

to build Notebooks - Your AI Whiteboard

•3 reviews

Super simple to get started, documentation was amazing.

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1yr ago

used

Pinecone

to build LiquidIndex 2.0

•5 reviews

Enabled the ability to have full data isolation due to namespaces. They also provided 2 embedding models for me to start out with

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1 view1yr ago

used

Pinecone

to build NeuraVid

•3 reviews

We used Pinecone for fast, scalable vector search to power NeuraVid’s AI-driven video retrieval. Unlike traditional databases, Pinecone is optimized for vector searches (ANN - Approximate Nearest Neighbor). As NeuraVid processes huge volumes of video embeddings, Pinecone’s fully managed infrastructure scales automatically, handling billions of vectors efficiently & we don't have to worry about it.

What's great

scalability (11)high-performance vector database (8)fully managed (1)efficient vector search (5)

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62 views1yr ago

used

Pinecone

to build Glasp AI Clone: Learning Memory

•19 reviews

We use Pinecone as our vector database to power Glasp’s AI Clone and Learning Memory. It’s incredibly fast, scalable, and reliable—perfect for managing embeddings from users’ highlights and notes. It enables real-time search and retrieval, making the AI Clone feel personal and instant. Compared to other options, Pinecone’s performance and ease of integration stood out.

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52 views11mo ago