Nayel99

chatgpt-sql

The prediction results of ChatGPT on various datasets of Text-to-SQL.

spider

scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

WrenAI

Open-source Text-to-SQL solution, Wren AI makes your database RAG-ready.

dspy

DSPy: The framework for programming—not prompting—foundation models

vidore-benchmark

Vision Document Retrieval (ViDoRe): Benchmark 👀. Evaluation code for the "ColPali: Efficient Document Retrieval with Vision Language Models" paper.

ollama

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

llama3

The official Meta Llama 3 GitHub site

pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

mteb

MTEB: Massive Text Embedding Benchmark

colpali

The code used to train and run inference with the ColPali architecture.

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

ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

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.

FlagEmbedding

Retrieval and Retrieval-augmented LLMs

outlines

Structured Text Generation

langfuse

🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

bert_score

BERT score for text generation

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

RAG-Survey

PlanRAG

Repository for “PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers”, NAACL24

blog

RAG-Survey

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

giskard

🐢 Open-Source Evaluation & Testing for LLMs and ML models

gaianet-node

Install and run your own AI agent service

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

cover-agent

CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞

git-katas

A set of exercises for deliberate Git Practice