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Edo Liberty

@EdoLiberty

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Founder & CEO @pinecone

Joined April 2021
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@EdoLiberty
Edo Liberty
28 days
RT @awsdevelopers: 🗽 NYC tech community, come learn how to build agentic AI applications with experts from #AWS, #Cohere, and Pinecone!. 🤖….
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@EdoLiberty
Edo Liberty
28 days
RT @pinecone: 💡If you thought Pinecone was just about dense retrieval, you're missing out! Obviant is delivering 30% more accurate defense….
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@EdoLiberty
Edo Liberty
1 month
RT @jack_pertschuk: Come build databases with @hirad_codes and me at @pinecone if this makes you giddy
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@EdoLiberty
Edo Liberty
3 months
RT @pinecone: 💡 How @Vanguard_Group boosts customer support with fast, accurate vector search & RAG ⚡️. After testing pgvector, Faiss & Red….
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@EdoLiberty
Edo Liberty
4 months
Fun fact: Pinecone sustains 17k QPS on average 24/7….
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@EdoLiberty
Edo Liberty
4 months
RT @pinecone: We’re proud to announce that Pinecone has been named to @FastCompany's annual list of the world’s most innovative companies o….
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@EdoLiberty
Edo Liberty
4 months
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@EdoLiberty
Edo Liberty
4 months
We also improved search and recommendation performance. High-performance sparse indexing for text search now outperforms OpenSearch by a big margin! Auto scaling read worker replication (or provisioned capacity; coming soon) allows for seamless scaling to high QPS.
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@EdoLiberty
Edo Liberty
4 months
We now use an adaptive indexing log-structured merge tree; different slabs are indexed differently based on their size. It supports millions of small namespaces per index without sacrificing performance.
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@EdoLiberty
Edo Liberty
4 months
These are both harder and easier to handle. Very small indexes no longer justify complex indexing or bookkeeping. On the other hand, they can be warmed up in real time and scanned extremely quickly.
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@EdoLiberty
Edo Liberty
4 months
We spent several months optimizing Pinecone for agents. Agentic workloads are different from traditional search and recommendation. They involve millions of small namespaces with bursty, unpredictable query patterns. đź§µ.
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@EdoLiberty
Edo Liberty
5 months
RT @pinecone: 🚀 Announcing llama-text-embed-v2 in Pinecone Inference. An embedding model built on @meta Llama 3.2 1B matches or exceeds Ope….
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@EdoLiberty
Edo Liberty
10 months
RT @pinecone: ⚡ Rerank API Free Tier.Over the past month we’ve made inference optimizations to expand access to rerank. - Free tier access….
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@EdoLiberty
Edo Liberty
1 year
The best vector db in the market is now battle tested by more than 20,000 organizations! Mission critical workloads? Let’s go!!.
@pinecone
Pinecone
1 year
Pinecone serverless is now generally available. Build fast and accurate AI applications for mission-critical workloads at up to 50x lower cost. Since public preview, more than 20,000 companies already started building with Serverless.
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@EdoLiberty
Edo Liberty
1 year
RT @pinecone: Pinecone serverless is now generally available. Build fast and accurate AI applications for mission-critical workloads at up….
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pinecone.io
Since the public preview announcement, more than 20,000 companies have started building with Pinecone serverless. Today, we’re announcing the general availability of Pinecone serverless on AWS.
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@EdoLiberty
Edo Liberty
1 year
RT @ShaiDavidai: Earlier today, @Columbia University refused to let me onto campus. Why? Because they cannot protect my safety as a Jewis….
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@EdoLiberty
Edo Liberty
2 years
Pinecone Serverless is out! There is sooo much to be excited about!!.One data point: Common Crawl (~1.4B vectors) on Pinecone Serverless massively improves GPT4 on factual Q&A.
@pinecone
Pinecone
2 years
Introducing Pinecone serverless, a completely reinvented vector database that lets you easily build fast and accurate GenAI applications at up to 50x lower cost. Available today in public preview, free to try with $100 in usage credits.
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@EdoLiberty
Edo Liberty
2 years
RT @pinecone: Introducing Pinecone serverless, a completely reinvented vector database that lets you easily build fast and accurate GenAI a….
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