llm-chain

There are 23 repositories under llm-chain topic.

  • trypromptly/LLMStack

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

    Language:Python1.7k2251242
  • rxlqn/awesome-llm-self-reflection

    augmented LLM with self reflection

  • clinical-self-verification

    microsoft/clinical-self-verification

    Self-verification for LLMs.

    Language:Jupyter Notebook629510
  • BirchKwok/lynsedb

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

    Language:Python519211
  • sugarcane-ai/sugarcane-ai

    npm like package ecosystem for Prompts 🤖

    Language:TypeScript4757914
  • h2oai/sql-sidekick

    Experiment on QnA tabular data using LLMs and SQL

    Language:Python2440353
  • redis-developer/LLM-Recommender

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

    Language:Python23203
  • Swarno-Coder/PersonalGPT

    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.

    Language:Python19118
  • Awesome-open-LLM

    nuhmanpk/Awesome-open-LLM

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

  • sobelio/llm-chain-template

    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.

    Language:Rust5210
  • DeveshParagiri/sage

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

    Language:Python4100
  • Srijan-D/LangChain-v0.2-HuggingFace-Llama3

    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.

    Language:Python4201
  • tunaflsh/summarizer

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

    Language:Python4200
  • MedAouadhi/Polybot

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

    Language:Rust3120
  • s-l-h/qax

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

    Language:Python3200
  • Gradio_GettingStarted

    AI-everyday/Gradio_GettingStarted

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

    Language:Jupyter Notebook2100
  • assynour/ProXChat

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

    Language:Python2200
  • Prismadic/hygiene

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

    Language:Python1310
  • ShahMitul-GenAI/ReviewEngine

    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.

    Language:Jupyter Notebook1101
  • nisrinaishmh/Create-AI-powered-apps-with-open-source-LangChain

    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

    Language:Jupyter Notebook0100
  • itahirmasood/LangChain-For-LLM-App-Development

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

    Language:Jupyter Notebook10
  • RoydonTay/Seedly-Articles-RAG

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

    Language:Python10