RAG Chat
a2fsa2k131 downloadsChat with your vault using local vector search (RAG) and any AI provider — OpenAI, Claude, Gemini, Mistral, Groq, Ollama, and more.
- Overview
- Scorecard
- Updates1
Chat with your Obsidian vault using any AI provider. Ask questions in natural language and get answers grounded in your actual notes, with clickable source citations.
No Python backend, no external server, no setup required. Everything runs inside Obsidian.
How it works
- When the plugin loads it indexes all your markdown notes using a built-in BM25 full-text search engine — no embeddings, no external model, no network calls for indexing.
- When you ask a question, the top matching note chunks are retrieved and sent as context to your chosen LLM.
- The answer is displayed in a chat panel alongside clickable source citations that open the referenced note.
- The index stays up to date automatically as you create, edit, rename or delete notes.
Supported AI providers
| Provider | Notes |
|---|---|
| OpenAI | GPT-4o, GPT-4, GPT-3.5, etc. |
| Anthropic | Claude 3.5 Sonnet, Claude 3, etc. |
| Gemini 2.0 Flash, Gemini 1.5, etc. | |
| Mistral | Mistral Large, Mistral Small, etc. |
| Groq | Fast inference for Llama, Mixtral, etc. |
| xAI | Grok |
| DeepSeek | DeepSeek Chat, DeepSeek Coder |
| Cohere | Command R+ |
| Together AI | Open-source models |
| Perplexity | Sonar models |
| Ollama | Local — llama3, mistral, phi3, etc. |
| llama.cpp | Local — any GGUF model |
| LM Studio | Local — any model |
| Jan | Local — any model |
| Custom | Any OpenAI-compatible API |
Installation
Install via Obsidian's Community Plugins browser:
- Open Settings → Community plugins
- Disable Restricted mode if enabled
- Click Browse and search for RAG Chat
- Click Install, then Enable
Setup
- Open Settings → RAG Chat
- Select your provider from the dropdown
- Enter your API key (not required for local providers)
- Check the data consent toggle
- The plugin will automatically index your vault on first load
Usage
- Click the chat icon (💬) in the left ribbon to open the chat panel
- Type a question and press Enter (or Shift+Enter for a new line)
- Click any source citation to jump directly to that note
- Use Settings → Rebuild index if you ever need to force a full re-index
Privacy
- Indexing is fully local. Note content is tokenised and stored on-device only; nothing is sent to any server during indexing.
- Your notes are sent to your chosen LLM provider when you ask a question (only the top matching chunks, not your entire vault). If this concerns you, use a local provider such as Ollama.
- API keys are stored in Obsidian's plugin data folder on your device.
Local LLM (no API key needed)
Select Local LLM as the provider, choose your server type (Ollama, llama.cpp, LM Studio, Jan, or other OpenAI-compatible), enter the server URL and model name, and you're done. No API key required.
Quick start with Ollama:
ollama serve
ollama pull llama3
Then set provider → Local LLM, type → Ollama, URL → http://localhost:11434, model → llama3.
Troubleshooting
No results / poor answers Go to Settings → RAG Chat and click Rebuild index. This re-indexes all notes from scratch.
API errors Check that your API key is correct and the selected model name matches what your provider offers.
Local LLM not reachable Use the Test button in settings to verify the server URL. Make sure your local server is running before sending a message.
License
MIT — see LICENSE