Merge pull request #239 from runyaga/docs/comprehensive-review
docs: fix documentation discrepancies with codebase
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commit
076f11d4dd
3 changed files with 46 additions and 7 deletions
40
docs/cli.md
40
docs/cli.md
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@ -34,7 +34,7 @@ haiku-rag list
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Filter documents by properties:
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```bash
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# Filter by URI pattern
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# Filter by URI pattern (--filter or -f)
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haiku-rag list --filter "uri LIKE '%arxiv%'"
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# Filter by exact title
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@ -116,10 +116,10 @@ haiku-rag search "machine learning"
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With options:
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```bash
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haiku-rag search "python programming" --limit 10
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haiku-rag search "python programming" --limit 10 # or -l 10
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```
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With filters (filter by document properties):
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With filters (filter by document properties, use `--filter` or `-f`):
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```bash
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# Filter by URI pattern
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haiku-rag search "neural networks" --filter "uri LIKE '%arxiv%'"
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@ -159,7 +159,7 @@ Flags:
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- `--cite`: Include citations showing which documents were used
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- `--deep`: Decompose the question into sub-questions answered in parallel before synthesizing a final answer
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- `--filter`: Restrict searches to documents matching the filter (see [Filtering Search Results](python.md#filtering-search-results))
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- `--filter` / `-f`: Restrict searches to documents matching the filter (see [Filtering Search Results](python.md#filtering-search-results))
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## Chat
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@ -182,6 +182,27 @@ The chat interface provides:
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See [Applications](apps.md#chat-tui) for keyboard shortcuts and features.
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## Inspect
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Launch the interactive inspector TUI for browsing documents and chunks:
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```bash
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haiku-rag inspect
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haiku-rag inspect --db /path/to/database.lancedb
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```
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!!! note
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Requires the `tui` extra: `pip install haiku.rag-slim[tui]` (included in full `haiku.rag` package)
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The inspector provides:
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- Browse all documents in the database
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- View document metadata and content
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- Explore individual chunks
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- Search and filter results
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See [Applications](apps.md#inspector) for details.
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## Research
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Run the multi-step research graph:
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@ -198,7 +219,7 @@ haiku-rag research "What are the key findings?" --filter "uri LIKE '%paper%'"
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Flags:
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- `--filter`: SQL WHERE clause to filter documents (see [Filtering Search Results](python.md#filtering-search-results))
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- `--filter` / `-f`: SQL WHERE clause to filter documents (see [Filtering Search Results](python.md#filtering-search-results))
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Research parameters like `max_iterations`, `confidence_threshold`, and `max_concurrency` are configured in your [configuration file](configuration/index.md) under the `research` section.
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@ -234,6 +255,15 @@ View current configuration settings:
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haiku-rag settings
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```
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### Generate Configuration File
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Generate a YAML configuration file with defaults:
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```bash
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haiku-rag init-config [output_path]
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```
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If no path is specified, creates `haiku.rag.yaml` in the current directory.
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## Database Management
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### Initialize Database
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@ -37,7 +37,7 @@ The MCP server exposes `haiku.rag` as MCP tools for compatible MCP clients like
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- **`search_documents`** - Search using hybrid search (vector + full-text)
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- `query` (required): Search query
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- `limit` (optional): Maximum results (default: 5)
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- `limit` (optional): Maximum results (uses config default if not specified)
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### Question Answering
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@ -120,7 +120,7 @@ See [Custom Processing Pipelines](custom-pipelines.md) for building pipelines wi
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By ID:
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```python
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doc = await client.get_document_by_id(1)
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doc = await client.get_document_by_id("document-id-string")
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```
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By URI:
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@ -370,6 +370,15 @@ answer, citations = await client.ask(
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)
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```
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Filter to specific documents:
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```python
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answer, citations = await client.ask(
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"What are the main findings?",
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filter="uri LIKE '%paper%'"
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)
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```
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The QA agent searches your documents for relevant information and uses the configured LLM to generate an answer. The method returns a tuple of `(answer_text, list[Citation])`. Citations include page numbers, section headings, and document references.
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The QA provider and model are configured in `haiku.rag.yaml` or can be passed directly to the client (see [Configuration](configuration/index.md)).
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