Saral AI Tech - Tamil

Build a Real-Time ReAct Agent with LangGraph + Claude

In this practical demo, we build a ReAct Agent that can:

🌐 Search the web for current information
🧮 Perform calculations
🧠 Decide which tool to use
🔄 Observe tool results and generate the final answer

ReAct = Reason → Act → Observe → Answer

If you're learning Agentic AI, LangGraph, or AI Agents, check out the new video! 🔥

👉 Watch the video and let me know your thoughts in the comments.

#AgenticAI #ReActAgent #LangGraph #GenerativeAI #Claude #AI

4 days ago | [YT] | 2

Saral AI Tech - Tamil

🚀 **Build Your First Multi-Agent AI System with LangGraph + Claude!** 🤖

Ever wondered how multiple AI agents can work together like a real development team?

In this tutorial, we build a **Beginner-Friendly Multi-Agent System** using:

🔹 **Supervisor Agent** – Decides which agent should run next
🔹 **Researcher Agent** – Searches the web and collects information
🔹 **Writer Agent** – Creates the report
🔹 **Reviewer Agent** – Reviews and improves the final output
🔹 **LangGraph** – Manages the complete agent workflow
🔹 **Claude** – Powers the AI agents
🔹 **DDGS Web Search** – Provides real-time web research
🔹 **Streamlit** – Creates the user interface

📌 **Workflow:**

START → Supervisor → Researcher → Writer → Reviewer → FINISH

This is a great starting point if you're learning **AI Agents, LangGraph, Multi-Agent Architecture, and Generative AI**.

💬 **Question:**
If you were building a multi-agent system, which agent would you add next?

1️⃣ Coder Agent
2️⃣ Testing Agent
3️⃣ Planner Agent
4️⃣ Database Agent

👇 Comment your choice!

#LangGraph #AIAgents #MultiAgentAI #Claude #GenerativeAI #Python #AI #MachineLearning #AgenticAI #Streamlit

1 week ago | [YT] | 2

Saral AI Tech - Tamil

🔥 **Top 10 RAG F2F Interview Questions**

Preparing for an **AI / GenAI / RAG interview?**
Here are 10 important production-level questions to practice 👇

**1️⃣ How would you design a production-ready RAG system?**
👉 API → Auth → Retriever → Vector DB → Reranker → LLM → Guardrails → Response

**2️⃣ How do you handle 1,000+ concurrent users?**
👉 Async processing, horizontal scaling, connection pooling, caching & rate limiting

**3️⃣ How do you reduce RAG latency?**
👉 Reduce `top_k`, optimize retrieval, caching, smaller models & streaming

**4️⃣ How do you handle LLM/API failures?**
👉 Retry with exponential backoff, timeout, circuit breaker & fallback model

**5️⃣ How do you prevent rate-limit errors?**
👉 Rate limiter, request queue, exponential backoff & concurrency control

**6️⃣ How do you secure user-specific documents?**
👉 Authentication + Authorization + Metadata filtering

**7️⃣ How do you prevent prompt injection in RAG?**
👉 Treat retrieved content as untrusted data + validate tool access

**8️⃣ How do you improve poor retrieval quality?**
👉 Better chunking, embeddings, hybrid search, query rewriting & reranking

**9️⃣ How do you monitor RAG in production?**
👉 Track latency, errors, token usage, cost, retrieval quality & hallucination

**🔟 How do you reduce RAG cost?**
👉 Caching, smaller models, fewer chunks, context compression & token limits

💡 **Interview Tip:**
Don't just explain the RAG pipeline. Be ready to discuss **scalability, security, reliability, latency, cost and monitoring.**

Which RAG production question do you find the most difficult? 👇

#RAG #GenAI #GenerativeAI #AIInterview #LLM #LangChain #AIEngineering

2 weeks ago | [YT] | 2

Saral AI Tech - Tamil

Want to learn how Claude AI Agents use Tool Calling?

In this video, you'll learn how to build AI Agents that can call external tools such as Weather and Currency Converter using Claude AI, LangGraph, and LangChain.

Follow the complete step-by-step implementation and see a real-world AI Agent in action.

💬 Which tool would you add next to your AI Agent? Let me know in the comments! 👇

1 month ago | [YT] | 1

Saral AI Tech - Tamil

Interested in learning .NET and AI?

In this video, you'll learn how to build an IT Support AI Agent using .NET 10 and the Microsoft Agent Framework.

Follow along with a step-by-step guide to real-world AI Agent development and discover how modern AI applications are built using Microsoft technologies.

💬 Have you built any AI Agents yet? Share your experience in the comments below! 👇

1 month ago | [YT] | 1

Saral AI Tech - Tamil

RAG Semantic Search vs Keyword Search – What's the difference?

✅ Keyword Search = Exact word matching
✅ Semantic Search = Understands meaning & context
✅ Used in ChatGPT, RAG, Vector Databases & Modern AI Apps

Watch now:
https://www.youtube.com/watch?v=_CzcL...

💬 Which search method do you think gives better results?
1️⃣ Keyword Search
2️⃣ Semantic Search

#AI #RAG #SemanticSearch #GenAI #AITamil #ChatGPT #YouTubeShorts

3 months ago | [YT] | 5