Laying out the streets…STEP 1 OF 3

multimodal-rag-showcase · Office #55,740

Turns research PDFs, charts, and diagrams into RAG

In the Grounding answers in your own data neighborhood (AI and agents). In town since 29 Oct 2026.

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What Tablif read on multimodal-rag-showcase's site

multimodal-rag-showcase describes itself as: “GitHub - miguelCyclone/multimodal-rag-showcase: Experimental multimodal RAG showcase with traceable answers, reviewed visual evidence, hybrid retrieval, and auditable evaluations. · GitHub”

What it is

Calls itself “showcase”.

  • Calls itself: showcase
“Experimental multimodal RAG showcase with traceable answers, reviewed visual evidence, hybrid retrieval, and auditable evaluations.”

Where it puts itself

Rules out “PDFs, reviewed database rows, model weights or credentials”.

  • Says it will not: PDFs, reviewed database rows, model weights or credentials
“A clean checkout contains code and metadata only . It does not include PDFs, reviewed database rows, model weights or credentials.”

Who it sells to

Sells to developers. In Python.

  • Sells to: developers
  • Languages: Python
“GitHub Universe The event for developers, by developers — talks, workshops, and what’s next for GitHub.”
“Python 3.12, PostgreSQL 17 with pgvector, Docling, RapidOCR, Infinity serving BGE-small-en-v1.5 and MS MARCO MiniLM, Ollama serving Qwen3-8B and Qwen3-VL-4B, FastAPI, React/TypeScript and Vite.”

How it runs

A web app. Runs locally and works offline. Offers an API. AI is the core of the product.

  • Kind: web
  • Runs where: on the device, offline
  • API: yes
  • AI role: core to the product
“React views for Ask, Documents, Review, Experiments and Operations.”
“A local-first engineering showcase for turning research PDFs into traceable evidence and cited answers.”

What it works with

Names Docling, FastAPI and 5 more on its pages.

  • Names: Docling · FastAPI · Ollama · +4
“Python 3.12, PostgreSQL 17 with pgvector, Docling, RapidOCR, Infinity serving BGE-small-en-v1.5 and MS MARCO MiniLM, Ollama serving Qwen3-8B and Qwen3-VL-4B, FastAPI, React/TypeScript and Vite.”

What it offers as proof

Live, no waitlist. Claims “27-paper”. Publishes docs.

  • Number claimed: 27-paper
“You must be signed in to star a repository”
“The prepared workspace serves a 27-paper bundle from an isolated Neon database.”

Sources

Tablif read these pages, last on 29 Oct 2026. Everything above is what the product says about itself; Tablif does not verify every claim.

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