Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
An open source cybersecurity protocol for syncing decentralized graph data.
A MNIST-like fashion product database. Benchmark :point_down:
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
A list of learning materials to understand databases internals
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Brings SQL and AI together.
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
A Next.js and MongoDB web application, designed with simplicity for learning and real-world applicability in mind.
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
💬 The Step-by-Step Beginners Tutorial for Building, Testing & Deploying a Chat app in Phoenix 🚀
The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.
Language model search engine built on a vector database and an anything key/value store.
A comprehensive guide on learning how to code cross platform mobile applications with the Flutter framework, from the ground up.
A dataset of millions of news articles scraped from a curated list of data sources.
🔐 A detailed example for how to encrypt data in an Elixir (Phoenix v1.7) App before inserting into a database using Ecto Types
Learn Clean Architecture with .NET Core 3.0 :fire:
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.