⛓️ build cognitive systems, pythonic
Documentation for langsmith
AI-powered Python components and notebooks for leveraging Large Language Models from OpenAI and Hugging Face.
The "lcel-tutorial" repo is designed for mastering LangChain Expression Language (LCEL), offering exercises to build stateful, multi-actor LLM applications. It's a hands-on guide to leveraging LCEL for complex workflows and agent-like behaviors. Perfect for enthusiasts eager to explore LLM's potential.
Trainer AI is an LLM assistant agent with the goal of helping you workout more efficiently, and spend less time preparing workout sets, and analyzing data. You talk to it like a personal coach, and it records your efforts, and lays plans for you to reach your goals.
AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings
ATS is a web application where the user on uploading the resume and the Job Description can get the percentage match of the job and their strength and weakness in the resume
img2card is a unique Telegram Bot designed to simplify your contact management. It takes facade pictures or contact card pictures as input and generates vCard files
Scripts for testing LangChain functionalities
"Chat with Databases using RAG" is a cutting-edge project that seamlessly integrates natural language inputs with database interactions. By leveraging advanced techniques like RAG and few-shot learning, it generates SQL queries from plain text and retrieves human-like responses from the database, revolutionizing the way we interact with data.
Simple LangChain app used to demo LangSmith
LCEL Langchain Tutorial
LangChain agent that given a name, searches in google to find Linkedin and Twitter profiles, scrape the internet for information about a name you provide and generate a couple of personalized ice breakers to kick off a conversation with the person.
Add a description, image, and links to the langsmith topic page so that developers can more easily learn about it.
To associate your repository with the langsmith topic, visit your repo's landing page and select "manage topics."