EvaDB: Database for AI Apps @evadb_ai
🐙 Github: https://t.co/VCy8gbNp1M 📟 Slack: https://t.co/cKnaKfCmA1 🌐 Website: https://t.co/IRmNTouqyS 📝 Blog: https://t.co/kXHSB04oWm evadb.ai/docs Atlanta, USA Joined May 2023-
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1/6: Excited to share this advanced RAG (Retrieval-Augmented Generation) pipeline that I built from scratch 😃🚀 The repository aims to demystify the complex mechanics of modern LLM-powered Question Answering systems such as @llama_index and @Haystack_AI🕵️ github.com/pchunduri6/rag…
🔍 Excited to share how to choose a Vector Database! In this blog post, we delve into #Faiss, @trychroma, @qdrant_engine , and #PgVector, exploring their impact on your AI applications. Discover differences in client connection time, index search time, accuracy, and storage.…
👋 Say goodbye to the headache of exporting data to CSVs and fretting over hyperparameters when training models on your databases! If your data resides in a database like Postgres, @evadb_ai brings AI to you. 🚀 Train prediction models directly within Postgres using familiar SQL…
🔥 Inside EvaDB, we've harnessed Ray's power within the classic exchange operator, unlocking operator-level parallelism! Thanks to @raydistributed and @evadb_ai 's optimization, we're hitting speeds 6-7x faster with 90%+ GPU utilization. 🚀 Technical blog post coming soon!…
Thanks for helping spread our vision, @mathemagic1an 🙏 If you're excited about bringing AI inside database systems, show us some ❤️ on 🐙 github.com/georgia-tech-d… 🙌
Thanks for helping spread our vision, @mathemagic1an 🙏 If you're excited about bringing AI inside database systems, show us some ❤️ on 🐙 github.com/georgia-tech-d… 🙌
Thanks for helping spread our vision! 🙌 Inteligencia artificial dentro de tu base de datos noticias.ai/evadb-intelige… 👏📊🤖
Hey @samokhvalov That's a neat way to think about LLMs as a text processing function in databases. We are trying to bridge the gap between AI and Postgres in @evadb_ai. EvaDB supports top-k queries with filters (although it currently involves two scans): github.com/georgia-tech-d…
Hey @samokhvalov That's a neat way to think about LLMs as a text processing function in databases. We are trying to bridge the gap between AI and Postgres in @evadb_ai. EvaDB supports top-k queries with filters (although it currently involves two scans): github.com/georgia-tech-d… https://t.co/yj54rPnzMc
Thanks for helping spread our vision, @FranckPachot! :)
Thanks for helping spread our vision, @FranckPachot! :)
🚀In AI-driven data analytics, bridging the database-AI gap is crucial for seamless development. 🔗Discover EvaDB - the solution to augmenting PostgreSQL with AI capabilities. See how EvaDB enables AI-powered joins between tables with no joinable column - medium.com/evadb-blog/aug…
MindsDB and EvaDB in performance showdown 🏎️💨 Exploring a text summarization challenge on ~12k CNN news using Hugging Face’s distilbart model: 🐻❄️MindsDB: 4h 45m ⏰ 🐦EvaDB: 42m ⚡️ Catch the action: medium.com/evadb-blog/min…
🎉 Leveled up our documentation game! 📚 Check out what's fresh: 1⃣ Seamlessly integrate with detailed API usage. 2⃣ Exciting e2e usecases: image classification, similarity search, and Q&A application on multimodal data! Out now! ⚡️evadb.readthedocs.io/en/latest/ More coming soon! 🔜
🚀Supercharge your video consumption experience with AI! 🎥✨ Generate engaging blog posts 📝or ask questions❓on any YouTube or local video. Powered by @LangChainAI and @evadb_ai.🌟 Witness the magic: An 8-hour @MindsDB Con 2023 video transformed into a 3-minute blog post!
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We are proud to share that this new X AI feature just announced by @elonmusk is powered by the Qdrant Vector Database. Congrats to the team! In Rust we Trust! 🦀✊😎
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1/6: Excited to share this advanced RAG (Retrieval-Augmented Generation) pipeline that I built from scratch 😃🚀 The repository aims to demystify the complex mechanics of modern LLM-powered Question Answering systems such as @llama_index and @Haystack_AI🕵️ github.com/pchunduri6/rag…
@evadb_ai I would say that both are important, but I referred to technical support. GenAI apps will be critical, so then solutions with a great technical support team is crucial.
Excited to share this app we've been working on for the past month! Analyze the pulse of your GitHub community using the power of LLMs. Try out the app here and give it some ❤️: github.com/pchunduri6/sta…
🚀Super excited to present the GitHub Stargazers Reloaded app. It makes it easy to get insights about your GitHub community using LLMs like never before. This app is inspired by the “original” Stargazers app written by Spencer Kimball from @CockroachDB. 😃 We analyzed insights…
@evadb_ai @trychroma @qdrant_engine Have you taken a look at astra.datastax.com? It's based on Apache Cassandra so has all the scale and performance you would expect! More on the journey we want through to integrate vector search can be found in this article - thenewstack.io/5-hard-problem…
@evadb_ai @trychroma @qdrant_engine As you are talking about enterprise-level solutions, I would add scalability and support as important factors. Choosing a DB consolidated in the market that addresses more use cases than only vector is also crucial.
@evadb_ai @trychroma @qdrant_engine I noticed you all didn't mention Cassandra/Astra DB. An ex-Gartner Analysit recently published a comprehensive document, "Vector Store Evaluation Criteria," providing a valuable perspective on Astra DB, a real-time data and AI Platform. bit.ly/48C5pF9
When a DB is free and lightweight, you can run it in a Jupyter Notebook. Here is one installing and running @YugabyteDB on @GoogleColab: colab.research.google.com/gist/FranckPac…
Something I've always wanted 🔥 A "soft join" between SQL tables for when a correspondence is only implied (e.g. different address formats, etc.) Powered by EvaDB @evadb_ai Data engineers rejoice ✨ medium.com/evadb-blog/aug…
Hey @samokhvalov That's a neat way to think about LLMs as a text processing function in databases. We are trying to bridge the gap between AI and Postgres in @evadb_ai. EvaDB supports top-k queries with filters (although it currently involves two scans): github.com/georgia-tech-d…
It's interesting that everyone seems to be so obsessed with ChatGPT/LLM, joining either "lovers" or "haters" camp, that the fact that pgvector and pg_embedding, with HNSW support, give an absolutely new perspective to text search is not appreciated yet, it seems. Instead of…
AI joins with @evadb_ai on PostgreSQL. Works with @Yugabyte DB as well
@samokhvalov There are also very interesting projects bringing those on top of the DB like @evadb_ai colab.research.google.com/github/georgia…
It's interesting that everyone seems to be so obsessed with ChatGPT/LLM, joining either "lovers" or "haters" camp, that the fact that pgvector and pg_embedding, with HNSW support, give an absolutely new perspective to text search is not appreciated yet, it seems. Instead of…
@samokhvalov There are also very interesting projects bringing those on top of the DB like @evadb_ai colab.research.google.com/github/georgia…
📢📢🔥 @evadb_ai brings an AI layer on top of your #postgresQL server that is designed for running AI queries using AI-centric query optimization! Check it out: github.com/georgia-tech-d… #postgres @planetpostgres \ cc @PeterZaitsev
🚀 EvaDB v0.3.2 is now live on GitHub: github.com/georgia-tech-d… ✨ What's New? Here's the scoop 👇
🚀Supercharge your video consumption experience with AI! 🎥✨ Generate engaging blog posts 📝or ask questions❓on any YouTube or local video. Powered by @LangChainAI and @evadb_ai.🌟 Witness the magic: An 8-hour @MindsDB Con 2023 video transformed into a 3-minute blog post!
📢 Excited to present our open-source project @evadb_ai at @deem_workshop @SIGMODConf ! 🚀 EvaDB empowers simpler and faster AI-powered apps. Special thanks to @weights_biases and @SnorkelAI for the generous travel grant. Check out Evadb: github.com/georgia-tech-d…
Another deep dive review - another database. This time Behind the Mutex explores EVA - an AI-relational database system that brings deep learning models and unstructured data into SQL. @evadb_ai @GauravTKakkar themutex.substack.com/p/review-eva-a… #python #database #ai #deeplearning
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