Stack 16 / Local

Local document questions

Ask questions about a small document collection using a downloaded model and a checked local setup.

Source review: October 18, 2026

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Short answer

Begin with a few authorized documents and questions with known answers. Prepare readable text, load a suitable local model and compare each answer with its source. Test missing-answer cases as well. Offline operation depends on the complete setup: model execution, retrieval, plugins, connected tools and the place you save results.

The stack · editorial pick

3 tools, one job

Paid placement never changes a stack.

01Preparation

Docling

Convert difficult documents and inspect the extracted text.

MCPAPI/CLIFile import
02Local chat

LM Studio

Attach prepared documents to a locally loaded model.

Agent platform API/CLIFile import MCP?
03Reviewed notes

Obsidian

Save checked answers with references to the original files.

API/CLIFile import MCP?
How this proposed stack fits together

This is a proposed local file workflow, not a benchmark or deployment test. Download dependencies first, disable unneeded connections and test offline operation. Keep document access controls and backups even when no cloud assistant is involved.

Connection methods are proposed from recorded capabilities, not evidence that IonBin tested the complete workflow. Check supported actions, account access and file direction before setup. "Manual" means no documented direct route is recorded here.

Proposed data flow
  1. Docling→LM Studio Attach the inspected text and retain the originals
    manual
  2. LM Studio→Obsidian Save only checked answers and their source references
    manual
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Workflows

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Wiki

Learn the pieces

Needs, questions, models and concepts behind this stack.

Swap-ins

Also works for this job

Alternatives for one role in the stack.

GitHub

Code hosting

Hosts Git repositories with pull-request reviews, Issues, Projects and Actions for CI/CD. The official GitHub MCP server lets AI agents read repos, manage issues and PRs, and watch Actions.

MCPAPI/CLIFile import
Used by IonBin’s founder Build

Ollama

Local model runtimes

Run supported models locally and call them through an API. Local and cloud execution are different modes; check which model actually serves each request. Documentation checked; not hands-on tested.

API/CLI
Local

Compare at a glance

RoleToolAgent compatibilityPricingUsed by IonBin’s founder
PreparationDocling MCPAPI/CLIFile import free · Free open-source software; compute and optional hosted services cost extra (checked Oct 18, 2026)—
Local chatLM Studio Agent platform API/CLIFile import MCP? free · LM Studio is free for work; model licences and hardware costs remain separate (checked Oct 18, 2026)—
Reviewed notesObsidian API/CLIFile import MCP? freemium · Free app; Sync US$4/user/month annually or $5 monthly; Publish US$8/site/month annually or $10 monthly (checked Oct 18, 2026)—

Sources for this stack