erag

by EduardTalianu · Agent Tool · ★ 212

About erag

ERAG Overview You can use this application to: Talk privately with your documents using Ollama or talk fast using Groq and others. Perform Retrieval-Augmented Generation activities (RAG) using various APIs (Ollama, LLaMA, Groq, Gemini, Cohere). Perform AI powered web search. Talk with a specific url. Analyze and summarize GitHub repositories. Do AI powered Exploratory Data Analysis (EDA) with AI generated Business Intelligence and insights on excels and csv (see some examples in images below).

Quick Facts

Stars212
Forks27
LanguagePython
CategoryAgent Tool
Quality Score65.9003159301238/100
Last Updated2025-06-17
Created2024-04-25
Platformsbrowser, python
Est. Tokens~473k

Compatible Skills

These tools work well together with erag for enhanced workflows:

  • datagouv-mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • flexible-graphrag — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
  • dbt-llm-agent — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
  • data-analysis-llm-agent — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • lex — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (54%)

More Agent Tool Tools

Explore other popular agent tool tools:

View all Agent Tool tools →

Popular Python Agent Tools

Frequently Asked Questions

What is erag?

erag is an AI interaction tool with RAG hybrid search, conversation context, web content processing and structured data analysis with LLM / GPT. It is categorized as a Agent Tool with 212 GitHub stars.

What programming language is erag written in?

erag is primarily written in Python.

How do I install or use erag?

You can find installation instructions and usage details in the erag GitHub repository at github.com/EduardTalianu/erag. The project has 212 stars and 27 forks, indicating an active community.

View on GitHub → Browse Agent Tool tools