Local AI for documents / source-backed answers / OCR-ready PDFs

Local AI for private documents, PDFs, and folders.

Chat with local documents, search OCR PDFs and scans, and get answers with source passages without sending sensitive files to the cloud.

EN RU NL ZH HE / Source passages attached / Retrieval controls in the UI

5.0 / 5.0
User rating Based on 23 user reviews
LocalRAG desktop app for local document search with folder path, retrieval controls, language settings, and response roles

Visible document workflow

Folder path, search settings, answer surface, and source evidence stay in view instead of disappearing behind setup flows.

Why teams take it seriously

LocalRAG is built for private document search, not demo-friendly uploads.

It starts with your real working folder: PDFs, scans, notes, mixed formats, and multilingual files.

01

Starts from the folder you already use

Point LocalRAG at a local folder and begin. No mandatory upload flow and no default cloud handoff.

02

Answers you can verify

Open the passage behind the answer and check what the model actually used.

03

Handles messy document sets

OCR PDFs, scans, uneven filenames, mixed languages, notes, and half-clean archives.

04

Search controls stay visible

Models, embeddings, retrieval depth, and response roles stay in the interface instead of disappearing into side config.

What the product keeps visible

Local document search stays understandable from question to answer.

Folder path, answer language, retrieval settings, models, and supporting passages stay visible before and after each question.

01

Connect the folder you already work in

Use the directory you already rely on, including OCR PDFs, scans, notes, and mixed content.

02

Chat with documents and inspect the source

Read the answer, open the retrieved passages, and check what the model actually used.

03

Adjust model and retrieval settings in the UI

Tune models, embeddings, retrieval depth, and response roles without leaving the product.

current product surface

Local document search / Chat with local documents / OCR PDF support / Answers with source passages / Ollama model selection / Retrieval controls

A grounded workflow, not a black box.

Local document search Chat with local documents OCR PDF support Answers with source passages Ollama model selection Retrieval controls in the UI
Screens from the running app

Real screens from the desktop app, not dressed-up mockups.

These captures come from the current LocalRAG build, so the page stays tied to the real interface.

LocalRAG answer screen with visible source context

Read the answer. Open the source passage.

What matters is not the phrasing. It is the ability to jump straight to the supporting passage.

LocalRAG model settings for LLM and embeddings

Changing models should feel normal

Language model and embedding choices are part of the workflow, not a side ritual.

Corporate / Integrations

When a local document assistant has to become a governed private system.

The corporate layer keeps the same local-first logic and adds the parts a real rollout needs: connectors, permissions, APIs, event flows, monitoring, and quality checks.

File shares / Object storage / Knowledge bases / SQL-backed content

Internal APIs / Webhooks / Queues and events / Monitoring and quality checks

The workflow stays familiar. The surrounding layer changes: connectors, automation, permissions, monitoring, and quality checks.

Pricing

Start with the free build. Add the corporate layer when you need more control.

Free is enough for personal work, pilots, and evaluation. Corporate is for teams that need connectors, governance, and an operating layer around the same core product.

Free / Community Free today

Run it locally, test it on real folders, and keep document work under your control.

Best if you want local AI for private documents on your own machine and want to understand the product before adding more infrastructure.

  • Local AI for documents on your own machine
  • Answer language configured in the product
  • Configurable models, embeddings, and response roles
  • Free for personal use, evaluation, and pilots
Corporate Custom scope

For teams that need connectors, rollout discipline, and operational control.

The same LocalRAG core, expanded with connectors, governance, and the pieces needed for internal platforms.

  • Connectors for file shares, knowledge bases, object storage, and internal content sources
  • Extensible API, webhooks, and adapters for integration with corporate systems
  • Database, queue, and event integrations, including SQL platforms and Kafka flows
  • Private deployment, access control, monitoring, and quality checks for production teams
Choose the next step

Pick the path that matches where you are.

Start with the free build if you want to test on real folders. If you need connectors, private deployment, or enterprise rollout design, talk to us about the corporate layer.