groq

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

A notebook-driven exploration of next-gen agentic RAG architectures and intelligent retrieval pipelines.

A NotebookLM-style RAG workspace — upload a PDF or CSV, and ask grounded, cited questions answered strictly from the document. Next.js, LangChain, Qdrant and Groq.

Audits ML notebooks for data leakage, reproducibility bugs, and validation-strategy mismatches. AST-based static analysis + one conditionally-invoked LLM reasoning step via LangChain/Groq.

RAG over PDFs — MiniLM + FAISS retrieval, HF Inference LLM, answers cite sources. Streamlit app + notebook.

Build and evaluate production-ready RAG pipelines with hands-on notebooks, templates, and proven performance strategies.

Convert any Jupyter Notebook into a production-ready Python project using a multi-agent AI pipeline

A local RAG system that understands Jupyter notebooks — ask questions, get answers with full cell context.

Notebook-based LangGraph project demonstrating agent workflows, tool-calling chatbots, and LLM integrations with external tools.

a quiet notebook for the people you love — remembers what you noticed when it's time to give a gift

Conceitos e tecnicas fundamentais de Engenharia de Prompts (roles, parametros, few-shot, chain-of-thought) em notebooks usando a API Groq.

AI-powered web app that grades handwritten notebook photos with pinpointed mistake annotations and exports graded PDFs — built with FastAPI, React, and Groq vision AI.

NotebookLM-style RAG app: notebook-isolated pgvector search over PDFs, web pages, YouTube and transcripts, with streamed answers whose citations jump to the exact page, timestamp or passage.

Guia prático de integração entre LangChain e Groq API. Contém um tutorial completo (Notebook) e uma aplicação de Chatbot Contábil com memória, streaming e RAG utilizando modelos Llama 3.

This Repo provides practical examples and guides for building applications with language models using the LangChain framework. Explore middleware, message handling, streaming, batch processing, and more through organized notebooks and scripts. Ideal for learning, prototyping, and extending LangChain capabilities.