Pinecone

Pinecone

Build knowledgeable AI
20 reviews21 shoutouts
313 followers

What is Pinecone?

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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Review Pinecone?

4.5/5 based on 20 reviews
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Maker reviews of Pinecone

LiquidIndex
Karthik Kandikonda
used this to buildLiquidIndex 2.0LiquidIndex
(262 points)
Enabled the ability to have full data isolation due to namespaces. They also provided 2 embedding models for me to start out with
Notebooks - Your AI Whiteboard
Dev Singh
used this to buildNotebooks - Your AI WhiteboardNotebooks - Your AI Whiteboard
(359 points)
Super simple to get started, documentation was amazing.
Tometo
Sparsh Srivastava
used this to buildTometoTometo
(439 points)
Though we are using function tools to retrieve information from our integrations in real-time, we also use Pinecone to retrieve relevant long-term information.
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Reviews

Tim Spann
5 reviews

This "database" did not have a non SAAS version, is not open source and did not support the index types or scale that I needed. I switched to Milvus.

蒋伟
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.

Christine Green
3 reviews

The scalability and performance under heavy loads are impressive. It handles everything we throw at it with ease, making it a reliable solution for large-scale AI applications.

Emre Tarakci
1 review

Simply great, efficient, cheap and very easy to setup and use

Piston Baba
2 reviews

I used Pinecone for my vector database, it was easy to get started and scale.

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