RAG Framework with No-Code UI

Today’s top AI Highlights:

1. Connect AI Agents to real-world services with secure auth

2. Opensource RAG framework to build modular production-ready apps

3. LM Studio launches SDK with an agent-oriented API

4. Zero-code database for AI and modern apps

& so much more!

Read time: 3 mins

AI Tutorials

AI Agent Tutorial

Air quality has become a crucial health factor, especially in urban areas where pollution levels can significantly impact our daily lives. While many air quality monitoring tools exist, there's a gap when it comes to personalized health recommendations based on real-time air quality data.

In this tutorial, we'll walk you through building a multi-agent AQI Analysis App that gives personalized health recommendations based on real-time air quality data. This system will analyze current air conditions and provide tailored advice based on your health conditions and planned activities.

Tech stack:

• Firecrawl for web scraping

• Agno (formerly Phidata) to create and coordinate AI agents

• OpenAI GPT-4o as LLM

• Streamlit for interface

AI Workflow

This workflow combines Grok-3's image generation capabilities with Pika AI's video animation features to create stunning transformation videos that show the evolution from vintage to modern aesthetics. Perfect for photo restorations, concept visualizations, or creative storytelling.

We share hands-on tutorials like this 2-3 times a week, designed to help you stay ahead in the world of AI. If you're serious about leveling up your AI skills and staying ahead of the curve, subscribe now and be the first to access our latest tutorials.

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Latest Developments

Connect AI Agents to APIs, Data, and Code 🖇️🤖📈

Arcade is an AI tool-calling platform that enables AI agents to act on your behalf through authenticated integrations. With Arcade, you can connect agents to various services including email, files, calendars, and APIs to build assistants that go beyond conversation and actually complete tasks.

The platform handles complex authentication challenges across services, from OAuth flows to API keys, allowing agents to access and act on user-specific data securely. You can get started quickly with over 30 pre-built connectors or create custom integrations using Arcade's SDK.

Key Highlights:

1. Auth Management - Arcade handles the complexity of OAuth flows, API keys, and token refreshes across multiple services, allowing AI agents to seamlessly retrieve and act on user-specific data without developers having to manage authentication infrastructure.

2. Model Compatibility - The platform provides a unified SDK that works consistently across AI providers like OpenAI and Anthropic, enabling developers to build tools once and integrate them everywhere while maintaining the flexibility to swap models as needed.

3. Ready-to-Use Integrations - Developers can access over 30 production-ready integrations with popular services like Gmail, Slack, and Spotify with built-in authentication handling, eliminating the need to build and maintain custom integrations from scratch.

4. Deployment - Arcade can be deployed in the cloud, within a Virtual Private Cloud (VPC), or on-premises, giving you the freedom to choose where your AI tool-calling infrastructure runs.

Opensource RAG Framework with No-Code UI 📚🔎

Cognita is an open-source framework for building RAG applications that are ready for production. It utilizes Langchain/LlamaIndex under the hood but provides a structured, modular codebase, making it easy to extend and integrate with existing systems.

It provides clear separation between critical components like chunking, embedding, query services, and vector databases to create maintainable code architecture. The framework also includes a no-code UI for testing different RAG configurations, making it easy to experiment with your system.

Key Highlights:

1. Modular Production-Ready Architecture - Cognita structures your RAG application into independent, API-driven components (data loaders, parsers, embedders, retrievers, vector databases, and query controllers). This promotes code reusability, simplifies testing, and easy scaling of individual parts.

2. Incremental Indexing - The framework provides a built-in, asynchronous indexing job that handles document processing, embedding, and storage in a vector database (Qdrant and SingleStore are supported). It intelligently detects changes in data sources, enabling incremental updates and reducing unnecessary re-indexing.

3. Customization Options - You can tailor almost every aspect of the RAG pipeline. The framework provides base classes for data loaders, parsers, vector databases, and query controllers, so you can integrate your preferred tools and techniques, or connect proprietary systems.

4. No-code UI - Comes with a built-in UI for non-technical users to upload documents and test different RAG configurations in real-time, making it easier to iterate on your retrieval system without writing code.

5. Dev-Friendly Setup - Uses Docker-based infrastructure that makes local development and testing straightforward, with hot-reloading for backend changes and a complete development environment that closely mirrors production.

Quick Bites

LM Studio has released its first SDK for Python and TypeScript under MIT license enabling you to programmatically access LM Studio's AI capabilities including chat, embeddings, and structured output from your own applications. A highlight of the release is the new .act() API that lets LLMs autonomously complete tasks using the provided tools, all while keeping data on your own device.

Cohere For AI has released Aya Vision, a breakthrough open-weights multimodal model that brings advanced vision capabilities to 23 languages spoken by over half the world's population. Available in both 8B and 32B parameter versions, Aya Vision impressively outperforms much larger models—with Aya 8B surpassing Llama 90B (11x larger) in multilingual image understanding tasks including captioning, visual Q&A, and image translation. The models are now available on Kaggle and Hugging Face.

LLMs like DeepSeek R1 using Chain-of-Thought reasoning have achieved impressive performance on complex tasks, but this comes with significant computational overhead and latency. Here’s a new approach called "Chain of Draft" (CoD) that addresses this problem by enabling AI to generate minimalistic yet informative intermediate reasoning steps, similar to how humans jot down concise notes when solving problems.

By reducing verbosity and focusing on critical insights, CoD matches or surpasses CoT in accuracy while using as little as only 7.6% of the tokens.

Tools of the Trade

1. RushDB: Zero-code database built on Neo4j that automatically normalizes and structures any JSON/CSV data into an interconnected graph without requiring schema design, migrations, or backend setup. Provides a simple query interface that works like MongoDB but for graph data.

2. Interview Coder: Provides real-time solutions during technical coding interviews while remaining invisible to screen recording software and webcam monitoring. It works across platforms like Zoom, HackerRank, and CoderPad. (It’s cool but we don’t recommend using it!)

3. Astha AI: A zero-trust security platform for AI agents that provides enterprise-grade identity management, policy-based access control, and secure communication across any agentic framework (like LangChain, AutoGen, CrewAI).

4. PyGWalker: Open-source data visualization tool that transforms pandas DataFrames into interactive dashboards with a single line of code, functioning as a Tableau alternative within Jupyter notebooks and other Python environments.

5. Awesome LLM Apps: Build awesome LLM apps with RAG, AI agents, and more to interact with data sources like GitHub, Gmail, PDFs, and YouTube videos, and automate complex work.

Hot Takes

1. Rates For Programmars Will Tank
   Non-techies creating full-stack web and mobile apps will reduce demand for devs by around 15-20%
   This will happen in ~3 months and will cause a massive drop in the TC for SWEs. Some elite engineers will still command a high compensation, but even that will last about 12 months.
   If someone blindly recommends pursuing a CS degree right now, they are not thinking straight. ~
   Bindu Reddy
   
   

2. Once a week I tell young developers: "stop trying to compete in crowded spaces, go build & monetize MCP servers instead."
   The opportunity is insane right now.
   No competition, wide open space, and VCs are begging to throw money at solo founders who get there first. ~
   Nik Pash

That’s all for today! See you tomorrow with more such AI-filled content.

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