There are 5 repositories under langsmith topic.
⛓️ build cognitive systems, pythonic
AI Device Template Featuring Whisper, TTS, Groq, Llama3, OpenAI and more
This AI Smart Speaker uses speech recognition and text-to-speech to enable voice-driven conversations and vision capabilities with OpenAI and Agents. The user speaks a prompt into the microphone, and the program sends the prompt to OpenAI to generate a response. The response is then converted to an audio file and played back to the user.
Documentation for langsmith
This code is an implementation of a chatbot using LLM chat model API and Langchain.
Interactive notes (Jupyter Notebooks) for building AI-powered applications
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.
An innovative application designed to help pharmacists and pharmacy students quickly research FDA-approved drugs by retrieving relevant information from drug labels and adverse event datasets, and providing AI-generated summaries to streamline the learning process
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.
Learn Langchain: Run all official examples locally. Updated daily to weekly. Langchain学习:在本地运行所有官方案例。日更到周更。
Learn the entire LangChain tech-stack fast 🏃♀️
AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings
[📚] Continuously learning and practicing concepts from Langchain + LLMs.
Website-to-MCQs is an application built in Python that utilizes generative AI, Langchain, embedding techniques, and ChatGPT to automatically generate multiple-choice questions (MCQs) from website content.
Python application that provides a RESTful API for LLM services. The application is built using LangChain, LangServe, LangSmith, Fast API and is designed to be deployed locally or to Google Cloud Run.
"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.
Your personal assistant on structure data!
Get setup with LangChain, LangSmith and LangServe and Building a simple application with LangChain Trace your application with LangSmith Serve.
Pinecone & Langchain bulk data loaders
GitDoc is your ultimate GitHub Documentation Explorer! It's your trusty sidekick for navigating through the vast world of open-source projects, making code exploration and documentation retrieval a breeze. 🚀
A completely local chat UI for any LLMs available on ollama using LangSmith and ChainLit
Discover LangSmith: Your gateway to crafting production-grade LLM (Large Language Model) applications with ease. Dive into a world of innovation and efficiency as LangSmith empowers you to create sophisticated language-driven solutions effortlessly.
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
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
Scripts for testing LangChain functionalities
Simple LangChain app used to demo LangSmith
Redis Database offers unique capability to keep your data fresh while serving through LLM chatbot
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.
Exploring SOTA Advanced RAG techniques: This project implements a self reflective RAG, seamlessly integrating multiple knowledge sources (website, SQL, PDFs) while meticulously aligning with business requirements.