No-code multi-agent framework to build LLM Agents, workflows and applications with your data

augmented LLM with self reflection

Self-verification for LLMs.

A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.

npm like package ecosystem for Prompts 🤖

Experiment on QnA tabular data using LLMs and SQL

Use OpenAI, Redis, and streamlit to recommend hotels using Large Language Models

Your own GPT-powered Personal Assistant to whom you can ORDER or INSTRUCT to do some task or search for something using your VOICE commands.

Awesome-Open-LLM : a curated list of open-source Large Language Models (LLMs)

Jumpstart your llm-chain projects with the llm-chain-template repository! This template provides a foundation for using the llm-chain library, complete with example code and instructions to get you started effortlessly.

Summarizes texts, videos and audios recursively. Allows custom prompts.

This project integrates LangChain v0.2.6, HuggingFace Serverless Inference API, and Meta-Llama-3-8B-Instruct. It provides a chat-like web interface to interact with a language model and maintain conversation history using the Runnable interface, the upgraded version of LLMChain. LLMChain has been deprecated since 0.1.17.

a basic proof-of-concept implementation of https://python.langchain.com/docs/use_cases/question_answering/

Personalized AI Chatbot based on Llama-2-7B-Chat model. Finetuned with personal data and quantized for optimized CPU runtime.

A simple bot server to run in your home network with super easy command definition and a sprinkle of intelligence.

A web-based chat application for querying process execution data using natural language.

Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere!

A payload compression toolkit that makes it easy to create ideal data structures for LLMs; from training data to chain payloads.

Extract Amazon customer reviews of select products via a third-party educational web scrapper, analyze them with LLM, and display concise summaries using an interactive user interface.

"LangChain For LLM App Development" by DeepLearning.AI and OpenAI.