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How to build index with text embeddings

This blog focuses on building an index with text embeddings and querying it with natural language in a minimalistic approach.
The indexing flow involves reading text files, chunking documents, embedding text with a model, and storing embeddings in a vector database.
The process includes ingesting files, chunking and embedding text, and exporting the embeddings to a Postgres table using CocoIndex functions.
Queries can be performed by writing SQL or utilizing the query engine of the target storage, with an example of a search function provided for querying the index interactively.

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Medium

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Title: How to Earn Money Using ChatGPT: A Beginner-Friendly Guide (2025 Edition) By AI Content…

Utilize ChatGPT for fast and efficient writing on platforms like Upwork, Fiverr, and Freelancer.com by mentioning AI-assisted writing skills and focusing on SEO or niche content.
Offer AI-powered content creation packages for managing social media content like captions, hashtags, scripts, and engagement strategies to small businesses and influencers via Instagram or Facebook groups.
Co-write eBooks, guides, or course outlines with ChatGPT and sell them on platforms like Gumroad, Payhip, or Etsy, with examples such as '30 Days of Motivational Quotes Generated by GPT'.
Utilize ChatGPT for writing YouTube video titles, descriptions, scripts, and combine it with tools like CapCut or Canva for creating engaging video content rapidly, ideal for YouTubers or channel managers.
Promote ChatGPT-related tools through affiliate links via blog posts or reviews written with GPT, leveraging platforms like Medium, Quora, or personal blog for increased visibility.
Utilize ChatGPT for diverse tasks like writing resumes, cover letters, translating content, or unique services such as 'AI Caption Writer' for Instagram or 'Prompt Selling' for creating and selling prompts for GPT use.
ChatGPT empowers humans for making extra income or building a business using practical content creation tips and AI hacks, indicating limitless opportunities when leveraged effectively.
Connect with AI Content Creation 18 for more AI-centric content creation tips and hacks, showcasing the beginning of a new era in content creation.

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Dev

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Daily JavaScript Challenge #JS-187: Find the Shortest Word in a Sentence

Daily JavaScript Challenge: Find the Shortest Word in a Sentence
Given a sentence, write a function to find the shortest word in the sentence. If there are multiple words with the same shortest length, return the first one that appears.
Check out the documentation about this topic here: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/split
Join the discussion on approaches, edge cases, and learnings from this challenge in the comments below.

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Dev

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Understanding Lifetimes with Real-World Analogy

Rust's concept of lifetimes, while initially challenging, aims to prevent dangling references and ensure memory safety through its borrow checker.
Lifetimes act as a contract between the compiler and the programmer, tracking the validity of references and data they point to.
Analogies, such as borrowing books from a library, can help grasp the idea that references can only be valid for a specific duration.
In Rust, explicit lifetime annotations like 'a' specify how long references remain valid, avoiding issues like dangling pointers.
A simple example function in Rust compares string slices and returns the longer one, showcasing the use of lifetime parameter 'a'.
Omitting lifetime annotations in Rust code leads to compilation errors as the compiler cannot infer how long references will be valid.
Common pitfalls in working with lifetimes include returning references to temporary values and managing lifetimes of variables properly.
Understanding lifetimes is crucial for memory safety and preventing issues like dangling references, making Rust's borrow checker a powerful tool.
Further steps for learning lifetimes in Rust include experimenting with more examples and exploring advanced topics like struct lifetimes.
With practice, lifetimes become more intuitive, showcasing how Rust's design choices prioritize safety and reliability in code.

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Dev

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🧠 The Silence That Shipped Nothing: A Psychological Postmortem of My Fake Startup

A fake startup called Whispr, offering 'Silence-as-a-Service,' was created as a parody of Silicon Valley's obsession with productivity and clarity.
The Whispr platform implemented silent productivity, replacing meetings with ambient presence and using fake metrics like Neural Quietude Index™ and Void Engagement Coefficient.
The experiment led to requests for the Whispr SDK, inquiries about its availability, and offers for brand collaboration, blurring the line between parody and reality.
Whispr sheds light on the noise economy in tech and the social theater of work, showcasing how silence can reveal the underlying rituals and mysticism present in the industry.

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Dev

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# 🧩 nodeBond: Lightweight IPC for Node.js — revived and improved

NodeBond is a lightweight IPC bus for local Node.js microservices, providing a refreshed and improved method of inter-process communication.
It simplifies connecting Node.js processes on the same machine, removing the need for complex serialization, routing, and error handling.
Key features of NodeBond include a central hub for managing services, shared in-memory state, CLI tools for control, and improved version 4.0.0 enhancements.
NodeBond is suitable for scenarios where applications are split into isolated services, local communication is preferred, and real-time monitoring and testing are necessary.

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Dev

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Automatically Map Workouts to the Right Apple HealthKit Type -HKWorkoutActivityType

Fit2Apple is an API that helps classify any workout to its correct HKWorkoutActivityType using a 4-stage pipeline.
To utilize Fit2Apple, developers need to send workout data in a specific format to the API and receive the best-matched HealthKit activity type.
Developers can easily integrate Fit2Apple into their fitness apps by sending a POST request with workout details and using the received activity type for accurate Apple Watch tracking.
Fit2Apple simplifies workout classification, enhances user experience, and ensures sensor accuracy for better data collection on Apple Watch.

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Dev

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Transient Activation: Why the copy button did not work on iPhone

An issue with the copy button not working on iPhones was identified in a company's app where users could update settings and copy a generated link.
The problem was attributed to Safari's Transient Activation feature, which caused a NotAllowedError for the copy operation despite successful setting updates.
Safari's unique security requirement for the Clipboard API, known as Transient Activation, only allows certain operations to be executed within a short window after direct user interaction.
The solution involved separating the 'save' and 'copy' actions by implementing a separate 'Copy Link' button that became enabled after the settings were saved, emphasizing the importance of cross-browser testing and comprehensive E2E testing.

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Medium

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LoopGPT: An AI-Powered MIDI Generator

LoopGPT is an AI-powered tool that generates four-bar MIDI loops to inspire musicians without replacing them.
It aims to use AI as a tool for enhancing creativity and workflow efficiency in music composition.
LoopGPT utilizes large language models for MIDI creation, showcasing high-quality and stylistically nuanced outputs.
The interface includes tabs for 'Text-to-MIDI' and 'Prompt Editor' to guide users through the generation process.
Users can set parameters like root note, scale type, generative models, and sampling temperature for customization.
LoopGPT operates through a modular pipeline with flexible prompts and transparent generation processes.
The quality of AI-generated music depends on model size and type, with reasoning models offering more coherent outputs.
Prompt engineering strategies like few-shot prompting improve output coherence and musicality.
LoopGPT plans to reduce dependence on external APIs by training dedicated MIDI-specific models for improved performance.
Future enhancements include adding user controls for MIDI characteristics and integrating open-source models for comparison.

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Dev

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Just Code, Chaos, and One Hell of a Plot Twist

Rishu, a student without IIT background or trust fund, shares his journey of learning, coding, and building despite the lack of opportunities at his college.
Rishu created Acadsphere, a platform for students to access previous year questions, which gained traction until it was hacked by his own classmates.
The incident led to Rishu landing his first paid internship at Bawse, where the founder saw his resilience even in the face of failure.
Following the chaos with Acadsphere, Rishu continued building and launched Web2Docx, a tool that converts HTML to DOCX/PDF/PNG for developers.

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Mjtsai

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Apple Turnaround

Apple is in a position requiring turnaround-scale changes without a financial crisis to motivate leaders.
New leadership is often part of a turnaround, providing credibility for necessary changes.
Developers crave respect and want to feel understood and valued by Apple.
A focus on software reliability over new features is crucial for long-term success.
Critics argue that Apple, as a publicly owned corporation, struggles to maintain its innovative culture post-Steve Jobs.
Friction between Apple and developers has led to trust issues and talented individuals leaving the ecosystem.
Suggestions for improving Apple's relationship with developers include sideloading and a public bug database.
There is a call for a return to a marketplace of indie apps made with care and humanity, reminiscent of Mac OS X's early days.
Speculation arises about Tim Cook's legacy and potential changes following his leadership at Apple.
Apple's position in the tech industry may require leadership changes for future achievements, especially in rapidly evolving fields like Artificial Intelligence.

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Dev

435

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A Beginner's Guide to Getting Started with Multimodality in LangChain

AI models are advancing in processing multimodal data such as images, audio, video, and PDFs, enhancing system flexibility and intelligence.
LangChain is integrating multimodality into its stack, enabling chat models to describe images and potentially support audio/video search.
Langcasts.com is a new resource for AI engineers, offering guides, tips, and classes to help master multimodality in LangChain.
Multimodality involves working with various types of input data beyond text, offering more natural interactions with AI models.
LangChain supports multimodal inputs in chat models for images and files, while embedding models and vector stores are evolving to support multimodality.
Currently, chat models in LangChain allow sending images and text in inputs, paving the way for more interactive and dynamic responses.
While chat models support multimodal inputs, outputs are mostly text-based, with some exceptions like audio outputs in certain models.
Embedding models in LangChain focus on text embeddings, with plans to extend support to multimedia embeddings for tasks like image and audio search.
Vector stores in LangChain cater predominantly to text-based embeddings, but future plans involve supporting image, audio, and video embeddings.
Developers can start experimenting with multimodal workflows by using external tools for generating embeddings until LangChain fully integrates multimodal support.

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Medium

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AI Isn’t Making You Forget How to Code—It’s Your New Superpower

AI is not replacing humans but enhancing their skills by acting as a coding buddy, mentor, and debugger.
The real issue lies in mindless use of AI, as AI itself doesn't deteriorate skills but passivity does.
Utilizing AI to work alongside humans can lead to faster and more focused development, as seen in examples like building applications quicker and mastering complex concepts with AI assistance.
The collaborative approach of humans working with AI can help handle tasks efficiently, leading to improved productivity and reduced stress.

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Dev

417

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The Decline of Code Memory

Developers are relying less on memorizing syntax and more on tools for code completion.
The shift in development practices from memorization to searching/prompting is leading to a decline in code fluency.
Code memory is important for coding speed, pattern recognition, and building with confidence.
A new approach using active recall and spaced repetition, like Flash Code tool, can help developers retain code snippets better.

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Dev

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How to fix CORS errors in Node.js

Cross-Origin Resource Sharing (CORS) errors are common in web development due to strict browser security policies.
Key CORS errors include missing Access-Control-Allow-Origin header, preflight request failure, and multiple origin values in header.
Solutions involve using the cors package in Express, explicitly handling OPTIONS method, and ensuring CORS headers are set only once.
Understanding CORS enforcement by browsers and configuring the server correctly is crucial for seamless integrations between frontend and backend services.

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