Taimur Rashid
@taimurrashid
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I love building new businesses where surplus of tech, business, and society create growth flywheels. I advice and invest in people with great ideas and missions
Bellevue, WA
Joined March 2009
Had so much fun with Brett Canfield talking about Amazon's AI Shopping Guides.
Shopping just got smarter! 🛍️🤖🔍 Amazon's new #AI Shopping Guides use #AmazonBedrock to simplify product research & create personalized buying experiences. 🔗 https://t.co/wI2v5xkuhd
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The number of people using @Redisinc and @langchain has absolutely exploded 🚀 Spent last couple weeks on improvements to our integration that just landed in main. https://t.co/d0qvhxXVxd Described in thread 👇
github.com
Description The previous Redis implementation did not allow for the user to specify the index configuration (i.e. changing the underlying algorithm) or add additional metadata to use for querying (...
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And it starts, with more to come…
Big news 🚀 We at #Redis have put out a client library specifically focused on vector database use cases. Introducing 🥁 Redis Vector Library ("RedisVL") The client library for using Redis as a vector database. docs: https://t.co/Y3gjJfs37N
https://t.co/DzyUZovovl
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Our CBO @taimurrashid chats with @devmio_official about the capabilities and limitations of #GenerativeAI and deep learning models for developers.
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I’m super excited to make it official: @disiok and I have started a company around @llama_index, and we’ve raised a $8.5M seed round led by @GreylockVC! 🔥🚀 We are building the open-source data framework to unlock LLM capabilities on your private data. https://t.co/f6r5oRBaCt
medium.com
LlamaIndex raises $8.5M seed round, led by Greylock Partners
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Redis Vector Search is 💪 We wrote a short tutorial with our friends at @Redisinc @SamPartee @taimurrashid on how to deploy end-to-end a completely managed vector db + LLM chain. https://t.co/EifB6RtbZO Stack: @RelevanceAI_
@Redisinc
@CohereAI
@OpenAI
redis.io
Developers love Redis. Unlock the full potential of the Redis database with Redis Enterprise and start building blazing fast apps.
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If you're in SF, you should come to the LLM Stack Hackathon being run with @RelevanceAI_ and @mlopscommunity There are spots for a few more teams. Check out some of the awesome work people did in a recent hackathon. 🧵
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Friday scoop: weeks before Gov. DeSantis' glitchy launch of his presidential campaign on Twitter Spaces, Twitter stopped paying Redis Labs for software that plays a key role in hosting live virtual events. https://t.co/1wEon3STQ2
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To say I'm excited to discuss LLM applications with @tchutch94 at @Redisinc Days next week would be an understatement It's been awesome to work with Tyler on the open source project, and I'm looking forward to a fun conversation :) https://t.co/qOFYwBZMrg
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LlamaIndex + @Redisinc 🛠️ Redis provides in-built vector storage/search capabilities. Now you can easily use it with LlamaIndex ingestion/indexing/querying! 💪 HUGE shoutout to @SamPartee for helping to land this change. See full guide here: https://t.co/kC1CdB4hOn
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Build your LLM based apps on Redis for Contextual Retrieval, Long Term Memory, and LLM Caching…
Vector databases are one of the pick axes of the AI gold rush. @redis has native support for vectors, and vector similarity search. All built on one of the most loved databases in the world.
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Data and digital technology play a crucial role in accelerating digital innovation in organizations. Join us April 6 at 1 PM ET to learn how #RedisEnterprise’s cloud-native in-memory enterprise-grade caching can improve the end-user digital experience. https://t.co/EBBzModbHN
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As a follow-up to my previous post, here's more information about using Redis as a vector database instead of Pinecone. Code samples are on GitHub via the link in the post. https://t.co/UMMRd0dvlb
#openai #embeddings #vectordb #redis
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LLM’s require vector databases for real time inferencing. Redis Vector Similarity Search brings the legendary speed of Redis to the AI world. It’s easy to get started just download the Redis Stack docker container or sign up for free at our website.
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Very powerful for those that want to bring real time into their recommendation models and systems.
Recommendation models are growing in complexity, but #NVIDIA’s Merlin framework and #Redis’ real-time data layer is providing low latency solutions even as data scales. @sampartee and @tchutch94 share three use cases for creating these systems here:
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Even more powerful with #redis to store and search the embeddings
github.com
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache. - redis-developer/ArXivChatGuru
Today is a huge day for developers. 🤯 - ChatGPT API released (10x cheaper) - Whisper available in the API - Overhauled data usage policy - Focus on stability And more! Here’s a quick thread on everything we shipped today @OpenAI 🧵
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Today is a huge day for developers. 🤯 - ChatGPT API released (10x cheaper) - Whisper available in the API - Overhauled data usage policy - Focus on stability And more! Here’s a quick thread on everything we shipped today @OpenAI 🧵
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Looking forward to learning more about vector similarity…
Excited to announce our lineup for the Future of Data and AI conf! Learn from leaders @SamPartee, @JackyGKoh, @svonava, Harmke Alkemade & @bobvanluijt about the future of Vector Similarity Search. Register now: https://t.co/tv0i3qhBIi
#FutureOfDataAndAI
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