raoulbia-ai's repositories
langchain
🦜🔗 Build context-aware reasoning applications
lion-core
Foundation towards automated general intelligence
RouteLLM
A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!
pr-pilot
An AI agent for your development workflow that can search and manipulate the code base, browse the internet and interact with Github issues and pull requests
pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
marvin
✨ Build AI interfaces that spark joy
code2prompt
Code2Prompt is a powerful command-line tool that simplifies the process of providing context to Large Language Models (LLMs) by generating a comprehensive Markdown file containing the content of your codebase. ⭐ If you find Code2Prompt useful, consider giving us a star on GitHub! It helps us reach more developers and improve the tool. ⭐
llm
Access large language models from the command-line
tiny-ai-client
Tiny client for LLMs with vision and tool calling. As simple as it gets.
unsloth
Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
Husky-v1
Code for Husky, an open-source language agent that solves complex, multi-step reasoning tasks. Husky v1 addresses numerical, tabular and knowledge-based reasoning tasks.
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
LLaMA-Factory
Unify Efficient Fine-Tuning of 100+ LLMs
OpenDevin
🐚 OpenDevin: Code Less, Make More
micro-agent
An AI agent that writes code for you
FinRobot
FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀
MegaParse
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
camelot
A Python library to extract tabular data from PDFs
petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading