diff --git a/docs/.DS_Store b/docs/.DS_Store new file mode 100644 index 00000000..940e9429 Binary files /dev/null and b/docs/.DS_Store differ diff --git a/docs/cli.md b/docs/cli.md new file mode 100644 index 00000000..e5100062 --- /dev/null +++ b/docs/cli.md @@ -0,0 +1,74 @@ +# Command Line Interface + +The `haiku-rag` CLI provides complete document management functionality. + +## Document Management + +### List Documents + +```bash +haiku-rag list +``` + +### Add Documents + +From text: +```bash +haiku-rag add "Your document content here" +``` + +From file or URL: +```bash +haiku-rag add-src /path/to/document.pdf +haiku-rag add-src https://example.com/article.html +``` + +### Get Document + +```bash +haiku-rag get 1 +``` + +### Delete Document + +```bash +haiku-rag delete 1 +``` + +## Search + +Basic search: +```bash +haiku-rag search "machine learning" +``` + +With options: +```bash +haiku-rag search "python programming" --limit 10 --k 100 +``` + +## Server + +Start the MCP server: +```bash +# HTTP transport (default) +haiku-rag serve + +# stdio transport +haiku-rag serve --stdio + +# SSE transport +haiku-rag serve --sse +``` + +## Options + +All commands support: +- `--db` - Specify custom database path +- `-h` - Show help for specific command + +Example: +```bash +haiku-rag list --db /path/to/custom.db +haiku-rag add -h +``` diff --git a/docs/configuration.md b/docs/configuration.md new file mode 100644 index 00000000..6e7c6610 --- /dev/null +++ b/docs/configuration.md @@ -0,0 +1,43 @@ +# Configuration + +Configuration is done through environment variables. + +## File Monitoring + +Set directories to monitor for automatic indexing: + +```bash +# Monitor single directory +export MONITOR_DIRECTORIES="/path/to/documents" + +# Monitor multiple directories +export MONITOR_DIRECTORIES="/path/to/documents,/another_path/to/documents" +``` + +## Embedding Providers + +### Ollama (Default) + +```bash +EMBEDDINGS_PROVIDER="ollama" +EMBEDDINGS_MODEL="mxbai-embed-large" +EMBEDDINGS_VECTOR_DIM=1024 +``` + +### VoyageAI + +```bash +EMBEDDINGS_PROVIDER="voyageai" +EMBEDDINGS_MODEL="voyage-3.5" +EMBEDDINGS_VECTOR_DIM=1024 +VOYAGE_API_KEY="your-api-key" +``` + +### OpenAI + +```bash +EMBEDDINGS_PROVIDER="openai" +EMBEDDINGS_MODEL="text-embedding-3-small" # or text-embedding-3-large +EMBEDDINGS_VECTOR_DIM=1536 +OPENAI_API_KEY="your-api-key" +``` diff --git a/docs/img/.DS_Store b/docs/img/.DS_Store new file mode 100644 index 00000000..5008ddfc Binary files /dev/null and b/docs/img/.DS_Store differ diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 00000000..c81ab0f2 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,52 @@ +# haiku.rag + +A Retrieval-Augmented Generation (RAG) library on SQLite. + +## Features + +- **Local SQLite**: No need to run additional servers +- **Support for various embedding providers**: Ollama, VoyageAI, OpenAI or add your own +- **Hybrid Search**: Vector search using `sqlite-vec` combined with full-text search `FTS5`, using Reciprocal Rank Fusion +- **File monitoring**: Automatically index files when run as a server +- **Extended file format support**: Parse 40+ file formats including PDF, DOCX, HTML, Markdown, audio and more. Or add a URL! +- **MCP server**: Exposes functionality as MCP tools +- **CLI commands**: Access all functionality from your terminal +- **Python client**: Call `haiku.rag` from your own python applications + +## Quick Start + +Install haiku.rag: +```bash +uv pip install haiku.rag +``` + +Use from Python: +```python +from haiku.rag.client import HaikuRAG + +async with HaikuRAG("database.db") as client: + # Add a document + doc = await client.create_document("Your content here") + + # Search documents + results = await client.search("query") +``` + +Or use the CLI: +```bash +haiku-rag add "Your document content" +haiku-rag search "query" +``` + +## Documentation + +- [Installation](installation.md) - Install haiku.rag with different providers +- [Configuration](configuration.md) - Environment variables and settings +- [CLI](cli.md) - Command line interface usage +- [Server](server.md) - File monitoring and server mode +- [MCP](mcp.md) - Model Context Protocol integration +- [Python](python.md) - Python API reference + +## License + +This project is licensed under the [MIT License](https://raw.githubusercontent.com/ggozad/haiku.rag/main/LICENSE). diff --git a/docs/installation.md b/docs/installation.md new file mode 100644 index 00000000..b3da3847 --- /dev/null +++ b/docs/installation.md @@ -0,0 +1,31 @@ +# Installation + +## Basic Installation + +```bash +uv pip install haiku.rag +``` + +By default, Ollama (with the `mxbai-embed-large` model) is used for embeddings. + +## Provider-Specific Installation + +For other embedding providers, install with extras: + +### VoyageAI + +```bash +uv pip install haiku.rag --extra voyageai +``` + +### OpenAI + +```bash +uv pip install haiku.rag --extra openai +``` + +## Requirements + +- Python 3.10+ +- SQLite 3.38+ +- Ollama (for default embeddings) diff --git a/docs/mcp.md b/docs/mcp.md new file mode 100644 index 00000000..58adf7db --- /dev/null +++ b/docs/mcp.md @@ -0,0 +1,40 @@ +# Model Context Protocol (MCP) + +The MCP server exposes RAG functionality as tools for AI assistants like Claude Desktop. + +## Available Tools + +### Document Management + +- `add_document_from_file` - Add documents from local file paths +- `add_document_from_url` - Add documents from URLs +- `add_document_from_text` - Add documents from raw text content +- `get_document` - Retrieve specific documents by ID +- `list_documents` - List all documents with pagination +- `delete_document` - Delete documents by ID + +### Search + +- `search_documents` - Search documents using hybrid search (vector + full-text) + +## Starting MCP Server + +The MCP server starts automatically with the serve command: + +```bash +# Default HTTP transport +haiku-rag serve + +# stdio transport (for Claude Desktop) +haiku-rag serve --stdio + +# SSE transport +haiku-rag serve --sse +``` + +## Integration + +The MCP server follows the Model Context Protocol specification, making it compatible with: +- Claude Desktop +- Other MCP-compatible AI assistants +- Custom MCP clients diff --git a/docs/python.md b/docs/python.md new file mode 100644 index 00000000..3b81c232 --- /dev/null +++ b/docs/python.md @@ -0,0 +1,101 @@ +# Python API + +Use `haiku.rag` directly in your Python applications. + +## Basic Usage + +```python +from pathlib import Path +from haiku.rag.client import HaikuRAG + +# Use as async context manager (recommended) +async with HaikuRAG("path/to/database.db") as client: + # Your code here + pass +``` + +## Document Management + +### Creating Documents + +From text: +```python +doc = await client.create_document( + content="Your document content here", + uri="doc://example", + metadata={"source": "manual", "topic": "example"} +) +``` + +From file: +```python +doc = await client.create_document_from_source("path/to/document.pdf") +``` + +From URL: +```python +doc = await client.create_document_from_source("https://example.com/article.html") +``` + +### Retrieving Documents + +By ID: +```python +doc = await client.get_document_by_id(1) +``` + +By URI: +```python +doc = await client.get_document_by_uri("file:///path/to/document.pdf") +``` + +List all documents: +```python +docs = await client.list_documents(limit=10, offset=0) +``` + +### Updating Documents + +```python +doc.content = "Updated content" +await client.update_document(doc) +``` + +### Deleting Documents + +```python +await client.delete_document(doc.id) +``` + +## Searching Documents + +Basic search: +```python +results = await client.search("machine learning algorithms", limit=5) +for chunk, score in results: + print(f"Score: {score:.3f}") + print(f"Content: {chunk.content}") + print(f"Document ID: {chunk.document_id}") +``` + +With options: +```python +results = await client.search( + query="machine learning", + limit=5, # Maximum results to return + k=60 # RRF parameter for reciprocal rank fusion +) + +# Process results +for chunk, relevance_score in results: + print(f"Relevance: {relevance_score:.3f}") + print(f"Content: {chunk.content}") + print(f"From document: {chunk.document_id}") +``` + +## Search Technology + +`haiku.rag` uses hybrid search combining: +- **Vector search** using `sqlite-vec` for semantic similarity +- **Full-text search** using SQLite's `FTS5` for keyword matching +- **Reciprocal Rank Fusion** to combine and rank results diff --git a/docs/server.md b/docs/server.md new file mode 100644 index 00000000..d9fc5d71 --- /dev/null +++ b/docs/server.md @@ -0,0 +1,41 @@ +# Server Mode + +The server provides automatic file monitoring and MCP functionality. + +## Starting the Server + +```bash +haiku-rag serve +``` + +Transport options: +- `--http` (default) - Streamable HTTP transport +- `--stdio` - Standard input/output transport +- `--sse` - Server-sent events transport + +## File Monitoring + +Set `MONITOR_DIRECTORIES` environment variable to enable automatic file monitoring: + +```bash +export MONITOR_DIRECTORIES="/path/to/documents" +haiku-rag serve +``` + +### Monitoring Features + +- **Startup**: Scans all monitored directories and adds new files +- **File Added/Modified**: Automatically parses and updates documents +- **File Deleted**: Removes corresponding documents from database + +### Supported Formats + +The server can parse 40+ file formats including: +- PDF documents +- Microsoft Office (DOCX, XLSX, PPTX) +- HTML and Markdown +- Plain text files +- Audio files +- And more... + +URLs are also supported for web content. diff --git a/mkdocs.yml b/mkdocs.yml new file mode 100644 index 00000000..e9767caa --- /dev/null +++ b/mkdocs.yml @@ -0,0 +1,77 @@ +site_name: haiku.rag +site_description: Retrieval-Augmented Generation (RAG) library on SQLite. +site_url: https://ggozad.github.io/haiku.rag/ +theme: + name: material + palette: + - media: "(prefers-color-scheme)" + toggle: + icon: material/lightbulb-auto + name: Switch to light mode + - media: "(prefers-color-scheme: light)" + scheme: default + primary: deep purple + accent: amber + toggle: + icon: material/lightbulb + name: Switch to dark mode + - media: "(prefers-color-scheme: dark)" + scheme: slate + primary: deep purple + accent: amber + toggle: + icon: material/lightbulb-outline + name: Switch to system preference + features: + - content.code.annotate + - content.code.copy + - content.code.select + - content.footnote.tooltips + - content.tabs.link + - content.tooltips + - navigation.footer + - navigation.indexes + - navigation.instant + - navigation.instant.prefetch + - navigation.instant.progress + - navigation.path + - navigation.tabs + - navigation.tabs.sticky + - navigation.top + - navigation.tracking + - search.highlight + - search.share + - search.suggest + - toc.follow + + icon: + repo: fontawesome/brands/github-alt + # logo: img/icon-white.svg + # favicon: img/favicon.png + language: en +repo_name: ggozad/haiku.rag +repo_url: https://github.com/ggozad/haiku.rag +plugins: + # Material for MkDocs + search: +nav: + - haiku.rag: + - index.md + - Installation: 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