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Pinecone

Pinecone

Build knowledgeable AI

•20 reviews•37 shoutouts•

331 followers

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Product status
Claimed
Forum Threads
Pineconep/pinecone
Gibbs Cullen
Gibbs Cullen
Pinecone Assistant - API service for grounded chat and agent-based applications
•1•

4mo ago

Pineconep/pinecone
Chris Messina
Chris Messina
Pinecone Serverless - Build remarkable AI applications
•9•

1yr ago

Pineconep/pinecone
Yiğit Konur
Yiğit Konur
Pinecone - Long-term memory for AI
•1•

2yr ago

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pinecone.io
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Makers
Nathan Cordeiro
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Pinecone shoutouts

Testimonials from top launches

Trending
Nestin - Design your Dream Home
Indi Jones
Indi Jones
used this to buildNestinNestin - Design your Dream Home
(184 points)
it made vectorization easy and scalable.
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3d ago
Brev
Chris Pitchford
Chris Pitchford
used this to buildBrevBrev
(531 points)
Super easy to use and great results!
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21d ago
Mukh.1
Farrukh Anwaar
Farrukh Anwaar
used this to buildMukh.1Mukh.1
(159 points)
Vector databases for context-aware agents
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6d ago
LiquidIndex
Karthik Kandikonda
Karthik Kandikonda
used this to buildLiquidIndex 2.0LiquidIndex
(226 points)
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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2mo ago
Notebooks - Your AI Whiteboard
Dev Singh
Dev Singh
used this to buildNotebooks - Your AI WhiteboardNotebooks - Your AI Whiteboard
(350 points)
Super simple to get started, documentation was amazing.
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2mo ago
Tometo
Sparsh Srivastava
Sparsh Srivastava
used this to buildTometoTometo
(433 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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3mo ago
Nia
Arlan Rakhmetzhanov
Arlan Rakhmetzhanov
used this to buildNiaNia
(255 points)
One of the best vector databases and easy to work with.
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3mo ago
Kick
Conrad Wadowski
Conrad Wadowski
used this to buildKickKick
(639 points)
We needed a trusted vector database for our fine-tuning similarity workflows which deal with a high volume of transactions, documents and other user context. We chose Pinecone for its low-latency, scalability and competitive pricing.
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7mo ago
Lookie AI: Make YouTube Your Brain
Steven Oh
Steven Oh
used this to buildLookie AILookie AI: Make YouTube Your Brain
(670 points)
It scales like a dream and handles large datasets without breaking a sweat.
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8mo ago
MeetMinutes
Rishi Patel
Rishi Patel
used this to buildMeetMinutesMeetMinutes
(290 points)
Specifically built to handle vector embeddings, we have ensured high performance in MeetMinutes with Pinecone.
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4mo ago
Glasp AI Clone: Learning Memory
Kei Watanabe
Kei Watanabe
used this to buildGlasp AI Clone: Learning MemoryGlasp AI Clone: Learning Memory
(61 points)
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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1mo ago
Lambda
Shusuke Takamizawa
Shusuke Takamizawa
used this to buildLambdaLambda
(289 points)
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.
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5mo ago
NeuraVid
bnkd
bnkd
used this to buildNeuraVidNeuraVid
(101 points)
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.
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2mo ago
Tim Hillison
Tim Hillison
used this to buildFleak
(569 points)
A huge shout out to the Pinecone Engineering, Data Science, and Partner teams. We are so excited to be working with you and cleaning up the world's data mess with Fleak & Pinecone! Join us on 8/22 for Pinecone&Fleak workshop for reranking: https://www.pinecone.io/community/events/pinecone-fleakai-workshop/
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10mo ago
Alden Do Rosario
Alden Do Rosario
used this to buildCustomGPT.ai ResearcherCustomGPT
(109 points)
Excellent serverless vectorDB - we used it in our visual search engine that select awesome images for the articles.
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3mo ago
Nummi
Arshdeep Bhardwaj
Arshdeep Bhardwaj
used this to buildNummiNummi
(94 points)
Enabling fast & efficient RAG (Retrieval-Augmented Generation).
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3mo ago
Magic Patterns
Teddy Ni
Teddy Ni
used this to buildMagic Patterns [LW24]Magic Patterns
(235 points)
Our vector database used for RAG.
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6mo ago
iMerch.ai
Kelly Qiu
Kelly Qiu
used this to buildiMerch.aiiMerch.ai
(210 points)
Pinecone’s fast, scalable vector database powers iMerch.ai’s real-time, accurate product recommendations. Its simplicity and AI-focused design set it apart from other solutions.
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5mo ago
Outlit AI
Josh
Josh
used this to buildOutlitOutlit AI
(366 points)
Pinecone has made it super easily to store massive amounts of vectors and their new serverless tier is very cost effective.
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10mo ago
Dealwise
Garrett Cahill
Garrett Cahill
used this to buildDealwiseDealwise
(365 points)
We use a hybrid keyword and vector search to identify the best strategic and financial buyers for your business. Pinecone is fast and reliable.
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1yr ago