No-code multi-agent framework to build LLM Agents, workflows and applications with your data
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Updated
May 23, 2024 - Python
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
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
A payload compression toolkit that makes it easy to create ideal data structures for LLMs; from training data to chain payloads.
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
Retrieval Augmented Generation (RAG) using LangChain Framework, FAISS vector store and FastEmbed text embedding model.
augmented LLM with self reflection
Use OpenAI, Redis, and streamlit to recommend hotels using Large Language Models
Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere!
Summarizes texts, videos and audios recursively. Allows custom prompts.
A web-based chat application for querying process execution data using natural language.
a basic proof-of-concept implementation of https://python.langchain.com/docs/use_cases/question_answering/
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.
Self-verification for LLMs.
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