Heimgeist/README.md

# Heimgeist

Heimgeist is a local desktop chat client for Ollama. It combines a Tauri + React renderer with a FastAPI backend, stores chat history in SQLite, supports optional SearXNG-backed web search, and can enrich prompts with context from local library indexes.

## Features

- Local desktop chat UI with Tauri
- Ollama-backed chat with streaming and non-streaming replies
- Persistent chat sessions and automatic title generation
- Edit-and-regenerate flow for earlier user messages
- Optional web search enrichment with source chips
- Local library management for RAG-style prompt enrichment
- Theme selection and UI scale controls

## Local Libraries

The `DBs` tab is no longer a placeholder. You can:

- create and rename libraries
- register files
- let Heimgeist rebuild retrieval automatically when files change
- open or remove registered files from the UI

When files are added or removed, Heimgeist automatically rebuilds the local RAG pipeline for that database: corpus, enrichment, embeddings, and indexes. In the chat composer, you can select which database the current chat should use. For each chat turn, Heimgeist queries the selected database, turns the top results into a local context block, appends that block to the user prompt, and sends the enriched prompt to Ollama.

## Stack

- Frontend: Tauri, React, Vite
- Backend: FastAPI, SQLAlchemy, SQLite
- Search enrichment: SearXNG + page fetching/reranking
- Local RAG pipeline: corpus build, enrichment, embedding, and retrieval helpers under `backend/rag/`

## Development

Requirements:

- Node.js 18+
- Python 3.13
- Ollama running locally
- Optional: SearXNG on `http://127.0.0.1:8888`

Quick start:

```bash
./run.sh
```

This creates or refreshes `backend/.venv`, installs Python dependencies, installs npm dependencies, and starts the dev stack.

On Linux `x86_64`, `run.sh` now selects a PyTorch flavor before installing `openai-whisper`:

- Steam Deck / SteamOS and other non-NVIDIA Linux hosts default to CPU-only PyTorch, which avoids downloading NVIDIA CUDA runtime wheels that Whisper does not need there.
- NVIDIA Linux hosts keep the default PyTorch install path.
- Override with `HEIMGEIST_TORCH_FLAVOR=default`, `HEIMGEIST_TORCH_FLAVOR=cpu`, or `HEIMGEIST_TORCH_FLAVOR=rocm6.4`.
- Use `HEIMGEIST_TORCH_INDEX_URL=...` if you need a custom PyTorch wheel index.

Manual startup:

```bash
python3.13 -m venv backend/.venv
backend/.venv/bin/python -m pip install --upgrade pip
# Steam Deck / SteamOS / CPU-only Linux:
# backend/.venv/bin/python -m pip install --index-url https://download.pytorch.org/whl/cpu torch
backend/.venv/bin/python -m pip install -r backend/requirements.txt
npm install
npm run dev
```

## File Tree

```text
.
├── backend/
│   ├── main.py
│   ├── local_rag.py
│   ├── rag/
│   ├── websearch.py
│   ├── ollama_client.py
│   ├── models.py
│   ├── database.py
│   ├── schemas.py
│   └── requirements.txt
├── src-tauri/
│   ├── src/main.rs
│   ├── tauri.conf.json
│   └── capabilities/
├── src/
│   ├── App.jsx
│   ├── LibraryManager.jsx
│   ├── GeneralSettings.jsx
│   ├── InterfaceSettings.jsx
│   ├── WebsearchSettings.jsx
│   ├── markdown.js
│   ├── colorSchemes.js
│   └── styles.css
├── package.json
├── run.sh
└── vite.config.js
```