# rag-web-ui/rag-web-ui

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

Repository: https://github.com/rag-web-ui/rag-web-ui
Canonical: https://ross.abutalabs.com/products/rag-web-ui
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: ai, langchain, rag, deepseek, ollama
Last push: 2026-04-06T14:22:58+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 76, release rhythm 78, longevity 42
- inputs: {"age_days": 597, "days_push": 149, "days_rel": 149, "gap_med": 2.0, "n_releases_24m": 17}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3270, forks 367 (observed 2026-08-28T04:07:53.042599+00:00)

## What it is
RAG Web UI is a self-hosted intelligent dialogue application that builds Q&A systems over your own knowledge base using Retrieval-Augmented Generation. It handles document ingestion (PDF, DOCX, Markdown, text), chunking, vectorization, and multi-turn chat with citations, supporting cloud LLMs (OpenAI, DeepSeek, MiniMax) or local models via Ollama.

## Use cases
- build a chatbot over my own documents
- self-hosted RAG knowledge base Q&A
- chat with PDFs and DOCX files
- deploy a private AI assistant with Ollama
- query my knowledge base via API
- document management with vector search
- multi-turn chat with source citations

## When to choose
- you want a ready-made, self-hosted RAG app with a web UI rather than building one from scratch
- you need document upload, chunking, and vectorization out of the box
- you want flexibility to switch between cloud LLMs and local models via Ollama
- you need an OpenAPI interface to access your knowledge base programmatically

## When to avoid
- you only need a RAG library or framework to embed in your own code, not a full application
- you need a highly customized retrieval pipeline beyond what its factory-based architecture supports
- you require enterprise-grade multi-tenancy or access controls not provided by the project

## Facets
- artifact type: application
- maturity: active
- function: rag, chatbot, chat-interface, vector-database, search-engine, llm-inference, web-framework, api-framework, pdf, file-upload
- domain: large-language-models, chatbots, artificial-intelligence, web-development, self-hosted
- platform: self-hosted, python, cross-platform
- tags: knowledge-base, document-management, langchain, ollama, deepseek, chromadb, qdrant, openai, qa-system, embeddings, retrieval-augmented-generation, natural-language-processing, docker, web-server, nodejs

## Member repositories
- rag-web-ui/rag-web-ui (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:53.042599+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:43:49.793658+00:00, confidence not recorded.
  - readme: https://github.com/rag-web-ui/rag-web-ui (fetched 2026-08-28T04:07:53.042599+00:00, sha 14ba8358d6f0)
- Data as of 2026-08-30T08:39:29.467469+00:00.