Just like Diwali brings light and structure to our lives, structured output brings order to the sometimes chaotic responses of LLMs like GPT-4.
And just like Holi adds color and variety, multimodality adds vibrancy to AI—enabling it to understand not just text, but images, audio, and more!
LangChain is like your AI Pooja Thali—beautifully organized, rich in capability, and ready to deliver consistent results.
🎇 What is Structured Output? – Like Lakshmi Poojan Checklist!
Imagine you're preparing for Lakshmi Poojan during Diwali. You need:
- 5 Diyas
- 1 Kalash
- Flowers
- Sweets
This is structured output—a fixed, predictable format!
In LangChain, structured output is when you guide the LLM to respond in specific formats like:
-
dictorlist -
Pydantic models(like having a checklist validated by your mom 😄)
🎯 Why Structured Output? – Like Following the Recipe for Modaks on Ganesh Chaturthi
You wouldn't freestyle when making Modaks, right? Here's why structure is essential:
- ✅ Ensures predictable formatting
- 🔗 Easy to connect to APIs or databases
- 🧩 Less prompt-engineering hassle
- 🚫 Catches invalid inputs early—like stopping when salt goes in instead of sugar!
🛠️ How to Implement Structured Output in LangChain – Like Following Navratri Rituals Step-by-Step
LangChain makes structured output super simple:
1. Pydantic Models
Like defining a proper Rangoli pattern—everything has its place and format.
2. with_structured_output() Helper
Automatically validates the output. Like your elder checking your Diya arrangement!
3. Tool Calling as Schema
Think of this as using different Pooja tools—each has a specific function.
4. OpenAI JSON Mode
Ensures JSON-only responses—like using stainless steel plates for cleanliness!
🙌 Real-Life Use Cases – Like Managing a Big Fat Indian Wedding!
Structured outputs are perfect for:
- 💬 Chatbots giving consistent responses
- 📑 Report generation like your yearly tax filing
- 🧘 Automating workflows like booking yoga classes
- 🛍️ Sending product info like a Flipkart sale reminder!
🎨 Multimodality – Like Holi! Beyond Text, Into Color, Sound & Experience
Just like Holi isn't complete with just dry colors—we need music, gujiya, water balloons, and laughter—AI too needs multimodality!
LangChain supports chat models that can take:
- ✍️ Text
- 🖼️ Images
- 📄 PDFs
- 🔊 Audio
- 🎥 Video
💬 Multimodal Chat Models – Like Saraswati Vandana with Music, Text, and Bhajans
LangChain allows inputs like:
- 🖼️ Images via URLs or base64
- 📑 Docs like PDFs
- 🎶 Audio inputs (depending on the model provider like OpenAI or Gemini)
And outputs like:
- 🎨 Images (generative art tools)
- 🔊 Audio (voice assistants)
LangChain ensures:
- Compatibility across model vendors
- Clean formatting like following shlokas with correct pronunciation!
🔧 Tools Using Multimodal Data – Like Delegating Tasks in a Wedding!
LLMs don’t handle all media types directly—but can delegate:
- Image processing
- Audio transcription
- File analysis
Just like your cousin handles catering while you manage decorations!
🧠 Multimodality in Embedding Models – Coming Soon Like Gudi Padwa Plans!
Currently optimized for text embeddings, but upcoming support includes:
- 🖼️ Image Embeddings
- 🔊 Audio
- 🎞️ Video
Soon, you’ll search your photo gallery with just a sentence—like saying “Find Holi photos with nani!”
🗂️ Multimodal Vector Stores – Like Your Digital Puja Diary
Vector stores hold your memory embeddings—used in RAG (Retrieval Augmented Generation). Today, it’s for text, but soon it’ll include:
- Image-based search
- Audio lookups
- Video knowledge extraction
Making your AI as smart as your dadi remembering every family detail!
🏁 Wrap-Up – Diwali Lights Meet Holi Colors
Today’s takeaway is like celebrating all festivals together:
- Structured output = Order like a Diwali Aarti
- Multimodality = Fun like a Holi celebration!
Build AI apps that are:
- ✅ Predictable
- 🎨 Vibrant
- 🔗 Seamlessly integrated
- 🧠 Context-aware
🙏 Credits & Acknowledgement
This post is crafted based on key points and ideas I initially drafted.
AI helped me transform those thoughts into a festive and structured storytelling format—just like polishing a diya to make it shine brighter.
💡 Special thanks to LangChain for their rich documentation and powerful tooling that makes all of this possible.
☁️ About Me
I'm a Cloud Developer ☁️ | AWS & Azure Certified | AWS Community Builder 🇮🇳
📘 I write about AI & Cloud at awslearner.hashnode.dev and dev.to/rastogiutkarsh
🔗 Let’s connect on LinkedIn
🌟 See you on Day 6, where we unlock even more power from LangChain!
🙏 Disclaimer
This blog is intended purely for educational purposes and aims to explain technical concepts through the lens of Indian festivals for better relatability and storytelling.
I hold deep respect for all traditions and communities, and there is no intention to hurt any sentiments.
If something seems out of line, feel free to share your feedback—I'm always open to learning and improving. 🙏
Top comments (0)