Ram Sriharsha

The world's best coding agent rejected vector search and chose grep. A tool from 1973. Your agent's memory doesn't learn. It never has. I wrote about why that matters and what comes next. open.substack.com/pub/ramsrihars…

🚀 Announcing llama-text-embed-v2 in Pinecone Inference An embedding model built on @meta Llama 3.2 1B matches or exceeds OpenAI's Large embedding retrieval quality with 10x lower p99 latency

Easily generate one billion embeddings in under a day... and with limited budget! How? With Ray Data from @anyscalecompute and Pinecone! Don't miss this session during the #DataAISummit tomorrow. Catch it in-person or online. databricks.com/dataaisummit/s…

I am thrilled to share our latest "Generation AI" podcast with @halfabrane, who I've known since back in the days at Hortonworks. Ram is VPE at @pinecone and shares his insights about vector databases and the what the future holds for Generative AI. open.spotify.com/episode/1eBouu…

We are deeply honoured to partner with Edo (@EdoLiberty) , Bob Wiederhold, Greg (@grigoriy_kogan) , Ram (@halfabrane), and the rest of the team on their vision of becoming the memory layer for next gen AI applications.

.@TimT toasts @pinecone on their milestone $100m Series B & $750m valuation (led by @a16z), describes how Pinecone became core to the modern AI data stack, and roasts founders @EdoLiberty & @Halfabrane in this not-very-VC blog post (+ Avengers analogies!) mnlo.vc/TimEdoRam

i really enjoyed this conversation w./ @QuinnyPig . Thanks so much for hosting me and for the great questions!

This week on #TheDataExchangePod, @halfabrane, VP of Engineering and R&D @pinecone. We discuss vector databases in general, and Pinecone's new proprietary storage engine (written in the Rust programming language #rustlang) thedataexchange.media/a-new-storage-…

🚨Big news: We just released three huge features... 🚀 p2 pods - up to 10x faster search and higher throughput 📈 Vertical scaling - with zero downtime 🗄️ Collections - save and reuse your vector data Read the full announcement to learn more: pinecone.io/learn/faster-e…

OnlineSTL: Scaling Time Series Decomposition by 100x deepai.org/publication/on… by @abhinavm24 et al. #AnomalyDetection #ComputerScience

Vol:15 No:7 → OnlineSTL: Scaling Time Series Decomposition by 100x vldb.org/pvldb/vol15/p1…

I interviewed Ram Sriharsha of pinecone.io for this new episode of @seradio. He explained some interesting machine learning basics before diving into their vector search database offering. @pinecone @halfabrane se-radio.net/2022/01/episod…

super excited to announce smle-beta, a reimagining of the data science experience on top of splunk to help data scientists put together machine learning workflows and operationalize them with ease on Splunk

Learn how @splunk uses @ApacheFlink to build machine learning systems and how to support #ML on streams with @halfabrane at #flinkforward San Francisco. bit.ly/3ca7VFk #analytics #streamprocessing

More details on the Databricks Unified Analytics Platform for Genomics, which we launched today to simplify and accelerate genomic data processing: databricks.com/blog/2018/06/0…

.@databricks @halfabrane & Frank share what you can do today w/ #UnifiedAnalyticsPlatform for #Genomics @SparkAISummit #ApacheSpark

very excited to share the work we have been doing to scale genomics on the cloud. databricks.com/blog/2018/06/0…

Spark Geospatial Analytics with Ram Sriharsha @halfabrane @ApacheSpark @Databricks #Data #Magellan softwareengineeringdaily.com/2018/05/04/spa…

Going to #StrataConf? Come hear Databricks @halfabrane talk: 'Magellan: Scalable and fast geospatial analytics' dbricks.co/2oPwgt9

Going to #StrataConf? Come hear Databricks @halfabrane talk: 'Magellan: Scalable and fast geospatial analytics' dbricks.co/2oA5ALH