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© 2026 sndev • v0.5.9

Public Beta

“Welcome to the sndev Beta Platform. We are actively stress-testing and refining core engineering workflows and developer discussion forums. Test the features, build in public , share insights, and help us shape the platform.”

— Team sndev
v0.5.9 Beta Release
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Project Discovery

23h ago•sndevpostedLatest Release

Building a Simple Large Language Model from Scratch

Build a transformer-based LLM from scratch using Python and PyTorch. Master tokenization, positional encodings, multi-head self-attention, and autoregressive model training.

Building a Simple Large Language Model from Scratch
23h ago•sndevposted

Fine-Tuning Large Language Models (LLMs) with Python

Learn how to fine-tune an LLM (DistilGPT-2) from scratch using Python and Hugging Face Transformers. Covers tokenization, dataset preparation, Trainer API training, and inference.

Fine-Tuning Large Language Models (LLMs) with Python
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Watch in-depth system architectures, step-by-step implementation tutorials, and code reviews.

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23h ago•sndevposted

Build a RAG Based PDF Chatbot with Fundamentals of RAG

Build a custom RAG PDF chatbot using LangChain, ChromaDB, and Google Gemini API to perform fast semantic retrieval and generate grounded, context-aware answers.

Build a RAG Based PDF Chatbot with  Fundamentals of RAG
23h ago•sndevposted

End-to-End AI Agent Chatbot withModular Structure

Build a full-stack Agentic AI Chatbot using LangGraph, LangChain, Groq (LLaMA 3), OpenAI GPT-4o, Tavily Search, FastAPI, and Streamlit for real-time web-augmented reasoning.

End-to-End AI Agent Chatbot withModular Structure
23h ago•sndevposted

Multilingual AI Chatbot using Sarvam AI for India's Regional Languages

Build a multilingual AI chatbot using Sarvam AI and Streamlit. Supports Indian languages like Hindi, Gujarati, Bengali, and Kannada with native LLM reasoning and real-time translation.

Multilingual AI Chatbot using Sarvam AI for  India's Regional Languages
23h ago•sndevposted

Build a Modular RAG Chatbot

Build a modular, full-stack RAG PDF chatbot from scratch using LangChain, FastAPI, Streamlit, ChromaDB, and Groq (LLaMA 3) with clean frontend-backend separation and sub-second inference.

Build a Modular RAG Chatbot
1 day ago•sndevposted

Build an End-to-End Modular PDF RAG XML Role Validator

Automate job role validation between structured XML files and unstructured PDFs using Google Gemini, Pinecone vector search, PyMuPDF, and fuzzy string algorithms (Levenshtein Distance & Ratcliff-Obers

Build an End-to-End Modular PDF RAG XML Role Validator
1 day ago•sndevposted

Build an End-To-End Modular RAG LangGraph AI Agent with Web Search

Build a full-stack AI agent with LangGraph, Groq LLaMA 3, Pinecone, and Tavily Search API. Features dynamic routing between PDF-grounded RAG and real-time web search with a FastAPI and Streamlit archi

Build an End-To-End  Modular RAG LangGraph AI Agent with Web Search
1 day ago•sndevposted

Build a MultiModal RAG PDF Q&A Chatbot

Build a Multimodal RAG pipeline using PyMuPDF, Cohere embed-v4.0, ChromaDB, and Gemini 2.5 Flash with LangChain LCEL to query both text and visual diagrams from PDFs.

Build a MultiModal RAG PDF Q&A Chatbot
1 day ago•sndevposted

Build & Deploy an End-To-End Modular RAG-based Medical Assistant

Build a role-based medical chatbot using FastAPI, Groq LLaMA 3, Pinecone, and MongoDB Atlas. Features document-grounded RAG with strict RBAC for Doctors, Nurses, and Patients.

Build & Deploy an End-To-End Modular RAG-based Medical Assistant
1 day ago•sndevposted

Build & Deploy an End-To-End Modular RAG Medical Diagnosis using LangChain, Pinecone, FastAPI

Build a secure, real-time medical report diagnosis app using FastAPI, Streamlit, LangChain, Pinecone, and Groq. Features RAG for accurate insights and RBAC for role management.

Build & Deploy an End-To-End Modular RAG Medical Diagnosis using LangChain, Pinecone, FastAPI
1 day ago•sndevposted

HyDE RAG Explained with Python Project | Fix Retrieval Quality in RAG

Fix RAG hallucinations using HyDE. Bridge the semantic query-document gap with FastAPI, Groq LLaMA, Gemini embeddings, and Pinecone, boosting similarity from 0.69 to 0.85.

HyDE RAG Explained with Python Project | Fix Retrieval Quality in RAG
1 day ago•sndevposted

Build & Deploy an AI Teaching Assistant with End-to-End Modular RAG System & Deployment

I Teaching Assistant is a production-ready, full-stack Generative AI application designed to streamline classroom learning through Retrieval-Augmented Generation (RAG) and automated evaluation

Build & Deploy an AI Teaching Assistant with End-to-End Modular RAG System & Deployment
6 days ago•sndevposted

Traditional vs Vectorless RAG | When to use which one | Full Comparison

Discussion on Traditional RAG vs. Vectorless RAG, covering how both approaches work, their key differences, advantages and limitations, and most importantly, when to use each approach based on the use

Traditional vs Vectorless RAG | When to use which one | Full Comparison
7 days ago•sndevposted

LangGraph Fundamentals Explained with Nodes, State, Edges and Agentic AI Workflows

Fundamental concepts regarding LangGraph and concept explanation

LangGraph Fundamentals Explained with Nodes, State, Edges and Agentic AI Workflows

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