Tech Growth Series: PrepVector

Tech Growth Series: PrepVector

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ML & Agentic AI

Solving the problem of multiple profiles per user - Part 1
Learn how Product Data Scientists solve real-world business challenges through data-driven insights, with a practical example of tackling the issue of…
 • Manisha Arora and Siddarth
LangGraph in Action: Building Complex, Stateful Agent Workflows - Part 4
Learn how to build complex, stateful agent workflows with LangGraph—featuring loops, memory, and dynamic routing.
 • Manisha Arora and Siddarth
AutoGen Unpacked: Conversational Multi-Agent Collaboration for AI Workflows - Part 3
In Part 3 of the AutoGen series, we dive into how multiple AI agents can collaborate seamlessly through structured conversation.
 • Manisha Arora and Siddarth
CrewAI Demystified: Building Role-Based Autonomous Agent Teams - Part 2
Understand CrewAI’s core concepts and how to build role-based agent teams. We’ll cover common use cases and practical setup tips.
 • Manisha Arora and Siddarth
A Practical Guide to Agentic Frameworks - Part 1
Discover how modern AI agents are evolving from simple prompts to autonomous systems & why agentic frameworks like LangChain, CrewAI, & AutoGen are the…
 • Manisha Arora and Siddarth
Hands-on Guide to Building Real World ML Systems - Part 1
A practical, step-by-step guide to designing and building machine learning systems that work in real-world settings.
 • Manisha Arora, Udit Manav, and Siddarth
From Raw Data to Insights: How AI Agents Are Reshaping the Data Workflow
AI agents are transforming how businesses interact with data—automating everything from querying to insight generation—reshaping how teams work with…
 • Manisha Arora
ReAct (Reason + Action) AI Agents
Learn how to create ReAct agents that use reasoning and actions to interact with the world. I'll guide you through the process of building your own…
 • Manisha Arora and Arun Subramanian
Level Up Your Chatbot: Personal Docs & Memory Boost!
Take your chatbot to the next level with two powerful upgrades: personalized document uploads and memory-enhanced conversations for richer, more…
 • Manisha Arora and Arun Subramanian
Deploying a Two-Tier RAG Chatbot with FastAPI and Streamlit
Deploy the RAG chatbot designed to answer questions from the “Attention is All You Need” research paper, using FastAPI and Streamlit.
 • Manisha Arora and Arun Subramanian
Building a RAG Q&A Chatbot Using LangChain
Build a RAG chatbot that answers questions about the cutting-edge “Attention is All You Need” research paper.
 • Manisha Arora and Arun Subramanian
Building LLM Applications with LangChain: A Hands-On Guide
In this blog, we build a simple LLM-powered application using LangChain, covering key components like LLMs, prompts, output parsers, and chaining, while…
 • Manisha Arora and Arun Subramanian
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