Matvey Arye 🇺🇦(@cevianNY) 's Twitter Profileg
Matvey Arye 🇺🇦

@cevianNY

Technical Leader @TimescaleDB. Currently working on AI and vector DB stuff. He/his.

ID:751075308862865408

calendar_today07-07-2016 15:28:02

598 Tweets

327 Followers

563 Following

Matvey Arye 🇺🇦(@cevianNY) 's Twitter Profile Photo

Want to get started with 'chat with your docs' and similar RAG applications? Get a load at these easy-to-use templated for Timescale Vector + Langchain.

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Timescale(@TimescaleDB) 's Twitter Profile Photo

It's 'Scaling Postgres' Launch Week.

Announcing Tiered Storage on Timescale💥

Store your older data in a low-cost, bottomless storage tier while still being able to query it via normal SQL from within . Now in general availability.

timescale.com/blog/scaling-p…

It's 'Scaling Postgres' Launch Week. Announcing Tiered Storage on Timescale💥 Store your older data in a low-cost, bottomless storage tier while still being able to query it via normal SQL from within #PostgreSQL. Now in general availability. timescale.com/blog/scaling-p…
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Kevin D Prinsloo(@KevinD_P) 's Twitter Profile Photo

🚀 Dive into Vector Embeddings for PostgreSQL with this must-read! Python, LangChain, Timescale Vector - all covered. Thanks, Avthar, for this insightful guide on everything from basics to advanced tips. 📊

🔗timescale.com/blog/a-complet…

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LangChain(@LangChainAI) 's Twitter Profile Photo

🎓A Complete Guide to Creating and Storing Vector Embeddings for PostgreSQL Data (using Python, LangChain and Timescale Vector)

This fantastic article by Avthar not only cover basic RAG concepts like chunking, embedding, etc - but also covers advanced topics like how to…

🎓A Complete Guide to Creating and Storing Vector Embeddings for PostgreSQL Data (using Python, @LangChainAI and @TimescaleDB Vector) This fantastic article by @avthars not only cover basic RAG concepts like chunking, embedding, etc - but also covers advanced topics like how to…
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Avthar(@avthars) 's Twitter Profile Photo

🎓A Complete Guide to Creating and Storing Vector Embeddings for PostgreSQL Data (using Python, LangChain and Timescale Vector)

Embedding data stored in a PostgreSQL database unlocks applications like semantic search, clustering, recommendation systems and everyone's…

🎓A Complete Guide to Creating and Storing Vector Embeddings for PostgreSQL Data (using Python, @LangChainAI and @TimescaleDB Vector) Embedding data stored in a PostgreSQL database unlocks applications like semantic search, clustering, recommendation systems and everyone's…
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Matvey Arye 🇺🇦(@cevianNY) 's Twitter Profile Photo

Want to add search superpowers to PostgreSQL? Try semantic search using AI embeddings!

Search your data using the meaning of the data instead of just the wording (as in fulltext/lexical search) -- and combine the two using the power of hybrid search.

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Avthar(@avthars) 's Twitter Profile Photo

Great to see Timescale Vector’s template for time-based RAG featured in this list of advanced retrieval templates from LangChain — highly recommend checking out the full list!

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Ajay Kulkarni(@acoustik) 's Twitter Profile Photo

Very excited to share something we have been working on for over a year! This is one of our biggest launches ever.

*Dynamic PostgreSQL*: A PostgreSQL database that instantaneously scales your compute, but with predictable pricing.

Welcome to the next evolution of the database.

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James Blackwood-Sewell(@jamessewell) 's Twitter Profile Photo

Insights is a 🔥 feature, but I'm just as excited about putting all the data into a single Timescale instance.

We have already stored over 1 trillion normalized queries, over 300TB of data. And this is a complex schema, not just (timestamp, reading).

Postgres can scale 📈.

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Mike Freedman(@michaelfreedman) 's Twitter Profile Photo

Hello, Timescale Insights.

Your observability detective for your service, at a level of granularity that is unmatched. 🔎📈

It's Cloud Launch Week here at Timescale!

timescale.com/blog/database-…

Hello, Timescale Insights. Your observability detective for your #Postgres service, at a level of granularity that is unmatched. 🔎📈 It's Cloud Launch Week here at @TimescaleDB! timescale.com/blog/database-…
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LangChain(@LangChainAI) 's Twitter Profile Photo

🦜🏗️LangChain Templates

Today we're excited to announce the release of ✨LangChain Templates✨ - a collection of easily deployable reference architectures for a wide variety of tasks

This is a new way to 🖌️create, 🤝share, ⏬download, and 💱customize chains and agents

❓How…

🦜🏗️LangChain Templates Today we're excited to announce the release of ✨LangChain Templates✨ - a collection of easily deployable reference architectures for a wide variety of tasks This is a new way to 🖌️create, 🤝share, ⏬download, and 💱customize chains and agents ❓How…
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Avthar(@avthars) 's Twitter Profile Photo

⏰ 🔍Introducing a new LangChain Template for hybrid search on similarity and time with Timescale Vector (PostgreSQL) and LangChain's self-query retriever.

Here's why time-based hybrid search is important and how you can easily integrate it into your next LLM application…

⏰ 🔍Introducing a new @LangChainAI Template for hybrid search on similarity and time with @TimescaleDB Vector (PostgreSQL) and LangChain's self-query retriever. Here's why time-based hybrid search is important and how you can easily integrate it into your next LLM application…
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Avthar(@avthars) 's Twitter Profile Photo

Super excited for this OpenAI Dev Day viewing party that Timescale is co-sponsoring!

Highly recommend registering if you're in SF or planning to make the trip for developer day like I am.

There's also a evening happy hour (details below) for folks to talk all things AI.

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Avthar(@avthars) 's Twitter Profile Photo

Thanks again to Jerry Liu and the LlamaIndex community for having me in their webinar series. 🦙🤝🐯

I had a great time talking about time-based retrieval and using it to create better RAG systems. Details and full video below ⬇️

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Mike Freedman(@michaelfreedman) 's Twitter Profile Photo

Today's Timescale Vector demo with LlamaIndex 🦙 around time-based RAG:

Chat with your git history to better understand how/why the software evolved over time.

In the case of our demo: >30 years of PostgreSQL development. 🤖🐘

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Avthar(@avthars) 's Twitter Profile Photo

Excited to chat with Jerry Liu and the LlamaIndex community about how time-based retrieval can help AI developers build better RAG systems.

I'll also cover how we enable efficient time-based search in Timescale Vector and give a live demo of an RAG app.

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