Tech P

How Agentic RAG Works? A traditional RAG has a simple retrieval, limited adaptability, and relies on static knowledge, making it less flexible for dynamic and real-time information. Agentic RAG improves on this by introducing AI agents that can make decisions, select tools, and even refine queries for more accurate and flexible responses. Here’s how Agentic RAG works on a high level: 1. The user query is directed to an AI Agent for processing. 2. The agent uses short-term and long-term memory to track query context. It also formulates a retrieval strategy and selects appropriate tools for the job. 3. The data fetching process can use tools such as vector search, multiple agents, and MCP servers to gather relevant data from the knowledge base. 4. The agent then combines retrieved data with a query and system prompt. It passes this data to the LLM. 5. LLM processes the optimized input to answer the user’s query. Credit: bytebytego #AgenticRAG #Agentic #RAG #systemdesign #coding #interviewtips

DATA ENGINEERS ONLY How would your team react if AI coding tools disappeared tomorrow?

@amankk_9 Pure quality insights

Learn to Deploy your AI Agents as Web Apps. amanxai.com/2026/03/08/bui…

@ai_explorer25 Pure quality insights

LIST OF 100 WEBSITES TO FIND REMOTE JOBS 1. LinkedIn. com 2. Indeed. com 3. Glassdoor. com 4. FlexJobs. com 5. WeWorkRemotely. com 6. Remote. com 7. Upwork. com 8. Freelancer. com 9. Fiverr. com 10. Guru. com 11. Toptal. com 12. AngelList. com (now Wellfound) 13. HubstaffTalent. com 14. SimplyHired. com 15. Remotive. com 16. VirtualVocations. com 17. WorkingNomads. com 18. Hired. com 19. CloudPeeps. com 20. TaskRabbit. com 21. Talent. com 22. RemoteOK. io 23. Dremote. io 24. Jooble. org 25. StackOverflow. com/jobs 26. Jobspresso. com 27. OnlineJobs. ph 28. TheMuse. com 29. SkipTheDrive. com 30. Zirtual. com 31. JustRemote. com 32. Hireable. com 33. RemoteWorkHub. com 34. Jobbatical. com 35. FreelanceWritingGigs. com 36. ContentWritingJobs. com 37. ProBlogger. com/jobs 38. Behance. net 39. Designhill. com 40. Dribbble. com/jobs 41. Arc. dev 42. Turing. com 43. LandingJobs. com 44. Pangian. com 45. DailyRemote. com 46. NoDesk. com 47. RemoteLeads. io 48. Outsourcely. com 49. PeoplePerHour. com 50. 99Designs. com 51. Contra. com 52. Braintrust. com 53. Lemon. io 54. Gun. io 55. X-Team. com 56. Crossover. com 57. WorkingNotWorking. com 58. Krop. com 59. AuthenticJobs. com 60. DynamiteJobs. com 61. Himalayas. app 62. Wellfound. com 63. EuropeRemotely. com 64. RemoteWoman. com 65. PowerToFly. com 66. Dice. com 67. CyberCoders. com 68. RobertHalf. com 69. Idealist. org 70. JournalismJobs. com 71. MediaBistro. com 72. Aquent. com 73. CreativeCircle. com 74. Solidgigs. com 75. Contently. com 76. Skyword. com 77. Nexxt. com 78. ZipRecruiter. com 79. CareerBuilder. com 80. Monster. com 81. Snagajob. com 82. Ladders. com 83. Jobcase. com 84. Relocate. me 85. RemoteHub. com 86. Nodesk. co 87. RemoteBase. com 88. HubstaffTalent. com 89. Workew. com 90. EURemoteJobs. com 91. Jobgether. com 92. 4DayWeek. io 93. Buildremote. co/jobs 94. TrueUp. io 95. Otta. com 96. Pallet. com 97. SmoothRemote. com 98. Deel. com/careers 99. Toptal. com/developers 100. Andela. com

@ashatalea Let's connect

@Tech_p001 Let’s connect 15 to go for 300

X is cool but it gets 10x better when your timeline is full of people who actually build things coding • startups • AI • SaaS • System design • Programming• Pipelines If you're in that zone, say hi 👋 let’s grow together

@asynctrix Pure quality insights

🐍 Most Beginners learn Python Syntax… But professionals learn how Python projects are structured 👨‍💻 These are some of the most common files you’ll see in real-world projects: • APIs • Automation Tools • AI Apps • Backend Systems • DevOps Platforms Understanding this structure makes development much easier 🚀 Save this for later 🔖 #Python

@e_opore Pure quality insights

Linux Cheatsheet (Beginner to Advanced) System Information → uname → Display system information → uname -a → Show all system details → hostname → Display system hostname → whoami → Current logged-in user → id → User and group IDs → uptime → System uptime and load → date → Current date and time → cal → Display calendar File & Directory Navigation → pwd → Print current directory → ls → List files and folders → ls -la → Detailed hidden file listing → cd → Change directory → mkdir → Create directory → rmdir → Remove empty directory → tree → Show folder structure → find → Search files and directories → locate → Quickly locate files File Operations → touch → Create empty file → cp → Copy files and folders → mv → Move or rename files → rm → Remove files and folders → shred → Securely delete files → cat → View file contents → less → Scroll through file content → head → View beginning of file → tail → View end of file → nano → Terminal text editor → vim → Advanced text editor Permissions & Ownership → chmod → Change file permissions → chown → Change file owner → chgrp → Change group ownership → umask → Default permission settings → sudo → Run command as administrator Process Management → ps → Show running processes → top → Real-time process monitor → htop → Interactive process viewer → kill → Terminate process → killall → Kill processes by name → jobs → Show background jobs → bg → Run job in background → fg → Bring job to foreground Disk & Storage → df -h → Disk space usage → du -sh → Folder size usage → mount → Mount file systems → umount → Unmount file systems → fdisk → Disk partition manager → lsblk → List block devices Networking → ping → Test network connectivity → ifconfig → Network interface details → ip addr → IP address information → netstat → Network statistics → ss → Socket statistics → curl → Transfer data from URLs → wget → Download files from internet → ssh → Secure remote login → scp → Secure file copy Package Management → apt → Debian/Ubuntu package manager → yum → RHEL/CentOS package manager → dnf → Fedora package manager → pacman → Arch Linux package manager → snap → Snap package manager → flatpak → Flatpak package manager Compression & Archives → tar → Archive files → gzip → Compress files → gunzip → Decompress .gz files → zip → Create ZIP archive → unzip → Extract ZIP archive Users & Groups → useradd → Create new user → passwd → Change password → userdel → Delete user → groupadd → Create new group → groups → Show user groups → su → Switch user account System Services → systemctl → Manage systemd services → service → Manage services → reboot → Restart system → shutdown → Power off system → journalctl → View system logs Shell & Scripting → echo → Print text output → alias → Create command shortcuts → export → Set environment variables → history → Command history → bash → Bash shell → sh → Shell interpreter → chmod +x → Make script executable Advanced Tools → grep → Search text patterns → awk → Pattern scanning & processing → sed → Stream editor → xargs → Build command arguments → cron → Schedule tasks → crontab → Manage cron jobs → rsync → Sync files and directories → tmux → Terminal multiplexer → screen → Persistent terminal sessions 📘 Learn Linux deeper with commands, projects, scripting, and structured guidance: codewithdhanian.gumroad.com/l/dynwdc

@debojyoti452 Connected

@Tech_p001 Hii let's connect. Building keplars.com - an email infrastructure platform focused on making setup and tracking much simpler. Unifies transactional and marketing email with OAuth sending, custom domains, built for both tech and non-tech users. Setup time? 5 clicks.

@smarkform Impressive 👍

@Tech_p001 Hi! I'm building SmarkForm — a markup-driven, open-source form controller. Subforms, dynamic lists, context-aware hotkeys, JSON I/O… Just HTML attributes +1 line of JS. < 70KB, no deps. Your layout stays 100% yours. 🚀 DX ✨ UX ♿️ A11Y Join the fun! smarkform.bitifet.net

@RainbowOladapo Abi Thanks for sharing

@Tech_p001 Reddit is too full of scammers... Just a lot of irrelevant and deceiving contents...

Programmers how do you guys find Reddit interesting?? I would love to be active there

@saveukrai Great explanation

SQL Server is Microsoft’s enterprise relational database platform with strong integration into the Microsoft ecosystem and advanced enterprise tooling. MySQL is a lightweight, widely used open-source relational database popular for web applications and startups. Both use SQL, but they differ mainly in ecosystem, licensing, tooling, operational style, and enterprise feature focus.

What is the difference between SQL server and MySQL??

@ekemini58110 For real??

@Tech_p001 C++

C++ and java which one is the hardest??

@_vmlops Really??

@Tech_p001 Java

@yadavji_codes For real

@Tech_p001 Java ofcourse

Analytics: Down 11% 📉 Engagement: Down 24% 📉 ​In Data Engineering, we call this a "noisy dataset." In content creation, I call it a wake-up call. ​I’m pivoting back to the fundamentals: Java, SQL, and C. ​Who’s still building for efficiency, not just hype?

@piyush784066 Really??

@Tech_p001 Ofcourse c++

@e_opore Pure quality architecture cheatsheet

𝐖𝐇𝐀𝐓 𝐈𝐒 𝐀 𝐓𝐑𝐀𝐍𝐒𝐅𝐎𝐑𝐌𝐄𝐑 𝐀𝐑𝐂𝐇𝐈𝐓𝐄𝐂𝐓𝐔𝐑𝐄? DEFINITION -> Transformer Architecture is a deep learning model designed for processing sequential data such as text -> Introduced in the paper Attention Is All You Need -> Uses attention mechanisms instead of recurrence to understand relationships between words and tokens CORE IDEA OF TRANSFORMERS -> Process all tokens in parallel instead of one-by-one -> Capture long-range dependencies efficiently -> Learn contextual meaning using self-attention MAIN COMPONENTS OF TRANSFORMER ARCHITECTURE INPUT EMBEDDINGS -> Convert tokens into dense numerical vectors -> Represent semantic meaning of words POSITIONAL ENCODING -> Adds position information to token embeddings -> Helps the model understand word order ENCODER -> Processes input sequences -> Extracts contextual understanding from tokens -> Consists of multiple repeated layers ENCODER LAYER COMPONENTS -> Multi-Head Self-Attention -> Feed Forward Neural Network -> Residual Connections -> Layer Normalization DECODER -> Generates output sequences token by token -> Uses masked attention to prevent future token visibility -> Commonly used in text generation tasks DECODER LAYER COMPONENTS -> Masked Multi-Head Attention -> Encoder-Decoder Attention -> Feed Forward Neural Network -> Residual Connections -> Layer Normalization SELF-ATTENTION MECHANISM -> Allows tokens to focus on relevant words in a sequence -> Computes relationships using Query, Key, and Value vectors -> Query determines what a token searches for -> Key represents token information -> Value carries contextual data MULTI-HEAD ATTENTION -> Multiple attention operations run simultaneously -> Each head learns different contextual patterns -> Outputs are combined into richer representations FEED FORWARD NETWORK (FFN) -> Applies non-linear transformations -> Processes each token independently after attention RESIDUAL CONNECTIONS AND LAYER NORMALIZATION -> Stabilize training -> Improve gradient flow -> Enable deep transformer networks WHY TRANSFORMERS ARE IMPORTANT -> Highly parallelizable -> Faster training compared to RNNs -> Better at capturing context over long sequences -> Backbone of modern AI systems like GPT, BERT, and T5 APPLICATIONS OF TRANSFORMERS -> Large Language Models (LLMs) -> Machine Translation -> Chatbots and AI Assistants -> Text Summarization -> Code Generation -> Computer Vision (Vision Transformers) SIMPLE TRANSFORMER FLOW -> Input Text -> Tokenization -> Embeddings + Positional Encoding -> Encoder Processing -> Attention Computation -> Decoder Generation -> Output Prediction Grab the MODERN LLMS ebook: codewithdhanian.gumroad.com/l/haeit

@CodeEdison C++

What is the hardest programming language to ever exist ?