No-code multi-agent framework to build LLM Agents, workflows and applications with your data
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Updated
May 30, 2024 - Python
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
npm like package ecosystem for Prompts 🤖
Self-verification for LLMs.
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.
Use OpenAI, Redis, and streamlit to recommend hotels using Large Language Models
augmented LLM with self reflection
Experiment on QnA tabular data using LLMs and SQL
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!
Retrieval Augmented Generation (RAG) using LangChain Framework, FAISS vector store and FastEmbed text embedding model.
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
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 payload compression toolkit that makes it easy to create ideal data structures for LLMs; from training data to chain payloads.
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