Pinecone

Name: Pinecone
Rating: 4.9 (68 reviews)

Build knowledgeable AI

4.9•68 reviews•

539 followers

Build knowledgeable AI

4.9•68 reviews•

539 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.

Wafer Pass — Flat rate to the best LLMs for OpenClaw, Hermes Agent, etc.

Flat rate to the best LLMs for OpenClaw, Hermes Agent, etc.

Promoted

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

4.9

Based on 68 reviews

Review Pinecone?

Reviewers mostly see Pinecone as a strong, practical choice for vector search: they praise fast performance, straightforward integration, simple APIs, and scaling from quick prototypes to larger AI workloads. Several say it was easy to get started, while one notes the setup can feel a bit complicated at first. A clearer drawback comes from a dissatisfied user who left for Milvus, citing the lack of a non-SaaS or open-source option and limits around index types and scale. Founder feedback is sparse but specific: the makers of TwelveLabs use it for fast retrieval across large video and text datasets.

+65

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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76 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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65 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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43 views5mo ago