No-code multi-agent framework to build LLM Agents, workflows and applications with your data
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Updated
Nov 16, 2024 - Python
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.
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/
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.
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