Pinecone

Build knowledgeable AI

4.9•69 reviews•

544 followers

Build knowledgeable AI

4.9•69 reviews•

544 followers

Visit website

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 AssistantAPI service for grounded chat and agent-based applications

Launched on January 23rd, 2025

Pinecone ServerlessBuild remarkable AI applications

Launched on January 17th, 2024

PineconeLong-term memory for AI

Launched on April 22nd, 2023

Company Info

pinecone.io

Pinecone Info

Launched in 2023

View 3 launches

Forum

p/pinecone

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4.9

Based on 69 reviews

Review Pinecone?

Reviewers mostly praise Pinecone for strong vector search performance, simple integration, and an easy path from setup to scale, especially for AI and embedding-heavy workloads. Users say the managed API makes it straightforward to add to an existing stack, and one notes serverless lowered costs significantly. A founder from TwelveLabs says their team uses Pinecone to store and search embeddings across large video and text datasets for fast retrieval. The main criticism is that it can feel complicated at first and may not fit teams needing open source, self-hosted options, or different index types.

+66

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 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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84 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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72 views1yr ago

•3 reviews

What's great

AI integration (6)scalability (11)ease of use (8)

Was using trieve until they were purchased by mintlify. So glad I was "nudged along" to switch. Way more powerful

What needs improvement

Cant say there's much I'd change other than it's a bit complicated at first.

vs Alternatives

I didn't actually start with Pinecone, but I'm so glad that I ended up there.

Ratings

Ease of use

Reliability

Value for money

Customization

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45 views6mo ago