Popular GitHub Repositories for Llm Chain

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

augmented LLM with self reflection

Self-verification for LLMs.

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.

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

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

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

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

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.

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

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

LangChain, a Python library for NLP, goes beyond just offering access to advanced language models from various providers like OpenAI and Cohere. It shines in its versatility, acting as a one-stop shop for your NLP needs. With its document loader handling diverse formats like PDFs and emails, LangChain empowers yu to effortlessly extract information

Successfully developed an LLM application that provides AI-powered, structured insights based on user queries. The app features a dynamic response generator with progress indicators, interactive upvote/downvote options, and a clean, engaging user interface built using Streamlit. Ideal for personalized meal, fitness, and health-related advice.

Retrieval Augmented Generation (RAG) using LangChain Framework, FAISS vector store and FastEmbed text embedding model.