run-llama/rags

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

6549 stars · 656 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Streamlit web app that lets users build a RAG (retrieval-augmented generation) pipeline over their data using natural language instructions. A builder agent generates RAG parameters (top-k, chunk size, models, system prompt) which users can edit, then chat with the resulting agent.

Use cases

• build a chatgpt over my documents without code
• create a custom gpt from a web page or local file
• generate a rag pipeline by describing it in natural language
• chat with an ai agent over my data
• tune rag parameters like top-k and chunk size via a ui
• self-host a private chatgpt alternative over my own sources

When to choose

• you want a no-code/low-code UI to spin up RAG agents over a single file or web page
• you want an OpenAI GPTs-like experience that you self-host
• you want to inspect and tweak generated RAG configuration parameters

When to avoid

• you need production-grade, multi-source or enterprise RAG deployments
• you want to avoid OpenAI API dependency or costs
• you need to ingest large document collections rather than a single file or page
• you need a programmable library rather than a Streamlit app

Facets

application · maturity maintenance

rag agent-framework chatbot llm-inference large-language-models chatbots python self-hosted streamlit llamaindex openai gpts natural-language-configuration retrieval-augmented-generation ai-agents natural-language-processing web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="run-llama/rags")