Update docs

README.md

@@ -8,19 +8,19 @@ Agentic RAG built on [LanceDB](https://lancedb.com/), [Pydantic AI](https://ai.p
 ## Features
 
 - **Hybrid search** — Vector + full-text with Reciprocal Rank Fusion
-- **Reranking** — MxBAI, Cohere, Zero Entropy, or vLLM
 - **Question answering** — QA agents with citations (page numbers, section headings)
+- **Reranking** — MxBAI, Cohere, Zero Entropy, or vLLM
 - **Research agents** — Multi-agent workflows via pydantic-graph: plan, search, evaluate, synthesize
 - **Conversational RAG** — Chat TUI and web application for multi-turn conversations with session memory
 - **Document structure** — Stores full [DoclingDocument](https://docling-project.github.io/docling/concepts/docling_document/), enabling structure-aware context expansion
-- **Visual grounding** — View chunks highlighted on original page images
-- **Time travel** — Query the database at any historical point with `--before`
 - **Multiple providers** — Embeddings: Ollama, OpenAI, VoyageAI, LM Studio, vLLM. QA/Research: any model supported by Pydantic AI
 - **Local-first** — Embedded LanceDB, no servers required. Also supports S3, GCS, Azure, and LanceDB Cloud
-- **MCP server** — Expose as tools for AI assistants (Claude Desktop, etc.)
-- **File monitoring** — Watch directories and auto-index on changes
-- **Inspector** — TUI for browsing documents, chunks, and search results
 - **CLI & Python API** — Full functionality from command line or code
+- **MCP server** — Expose as tools for AI assistants (Claude Desktop, etc.)
+- **Visual grounding** — View chunks highlighted on original page images
+- **File monitoring** — Watch directories and auto-index on changes
+- **Time travel** — Query the database at any historical point with `--before`
+- **Inspector** — TUI for browsing documents, chunks, and search results
 
 ## Installation
 
@@ -29,21 +29,25 @@ Agentic RAG built on [LanceDB](https://lancedb.com/), [Pydantic AI](https://ai.p
 ### Full Package (Recommended)
 
 ```bash
-uv pip install haiku.rag
+pip install haiku.rag
 ```
 
 Includes all features: document processing, all embedding providers, and rerankers.
 
+Using [uv](https://docs.astral.sh/uv/)? `uv pip install haiku.rag`
+
 ### Slim Package (Minimal Dependencies)
 
 ```bash
-uv pip install haiku.rag-slim
+pip install haiku.rag-slim
 ```
 
-Install only the extras you need. See the [Installation](https://ggozad.github.io/haiku.rag/installation/) documentation for available options
+Install only the extras you need. See the [Installation](https://ggozad.github.io/haiku.rag/installation/) documentation for available options.
 
 ## Quick Start
 
+> **Note**: Requires an embedding provider (Ollama, OpenAI, etc.). See the [Tutorial](https://ggozad.github.io/haiku.rag/tutorial/) for setup instructions.
+
 ```bash
 # Index a PDF
 haiku-rag add-src paper.pdf
@@ -139,4 +143,9 @@ Full documentation at: https://ggozad.github.io/haiku.rag/
 - [Benchmarks](https://ggozad.github.io/haiku.rag/benchmarks/) - Performance benchmarks
 - [Changelog](https://ggozad.github.io/haiku.rag/changelog/) - Version history
 
+## License
+
+This project is licensed under the [MIT License](LICENSE).
+
+<!-- mcp-name is used by the MCP registry to identify this server -->
 mcp-name: io.github.ggozad/haiku-rag

docs/apps.md

@@ -25,6 +25,8 @@ The chat interface provides:
 - Session memory for context-aware follow-up questions
 - Visual grounding to inspect chunk source locations
 
+![Chat TUI interface](img/tui-qa.svg)
+
 ### Command Palette
 
 Press `Ctrl+P` to open the command palette:
@@ -146,6 +148,8 @@ Three panels display your data:
 - **Chunks** (top right) - Chunks for the selected document
 - **Detail View** (bottom right) - Full content and metadata
 
+![Inspector search](img/inspector-search.svg)
+
 ### Navigation
 
 | Key | Action |
@@ -182,10 +186,21 @@ Press `c` while viewing a chunk to see the expanded context that would be provid
 
 ### Visual Grounding
 
+Visual grounding shows exactly where a chunk appears in the original document by highlighting its bounding box on the page image. This helps verify chunk boundaries and understand how content was extracted.
+
 Press `v` while viewing a chunk to see page images with the chunk's location highlighted:
 
-- Use `←` / `→` arrow keys to navigate between pages
-- Requires documents processed with Docling that include page images
+- Bounding boxes show the exact region of the page that maps to the chunk
+- Use `←` / `→` arrow keys to navigate between pages when a chunk spans multiple pages
+- Press `Esc` to close the modal
 
-!!! note
-    Visual grounding requires documents with a stored DoclingDocument that includes page images. Text-only documents won't have visual grounding available.
+![Visual grounding modal](img/tui-visual-grounding.png)
+
+#### Requirements
+
+- **Page images**: Documents must be processed with Docling's page image extraction enabled (default for PDFs)
+- **Terminal image support**: Your terminal must support inline images (e.g., iTerm2, WezTerm, Kitty). Terminals without image support will show a placeholder message.
+- **DoclingDocument storage**: Text-only documents (plain text, markdown added via `add`) don't have visual grounding available
+
+!!! tip
+    You can also view visual grounding from the command line with `haiku-rag visualize <chunk_id>`. See [CLI documentation](cli.md#visualize-chunk) for details.

docs/index.md

@@ -5,17 +5,19 @@ Agentic RAG built on [LanceDB](https://lancedb.com/), [Pydantic AI](https://ai.p
 ## Features
 
 - **Hybrid search** — Vector + full-text with Reciprocal Rank Fusion
-- **Reranking** — MxBAI, Cohere, Zero Entropy, or vLLM
 - **Question answering** — QA agents with citations (page numbers, section headings)
+- **Reranking** — MxBAI, Cohere, Zero Entropy, or vLLM
 - **Research agents** — Multi-agent workflows via pydantic-graph: plan, search, evaluate, synthesize
 - **Conversational RAG** — Chat TUI and web application for multi-turn conversations with session memory
-- **Document structure** — Stores full [DoclingDocument](https://docling-project.github.io/docling/concepts/docling_document/), enabling structure-aware context expansion and visual grounding
+- **Document structure** — Stores full [DoclingDocument](https://docling-project.github.io/docling/concepts/docling_document/), enabling structure-aware context expansion
 - **Multiple providers** — Embeddings: Ollama, OpenAI, VoyageAI, LM Studio, vLLM. QA/Research: any model supported by Pydantic AI
 - **Local-first** — Embedded LanceDB, no servers required. Also supports S3, GCS, Azure, and LanceDB Cloud
-- **MCP server** — Expose as tools for AI assistants (Claude Desktop, etc.)
-- **File monitoring** — Watch directories and auto-index on changes
-- **Inspector** — TUI for browsing documents, chunks, and search results
 - **CLI & Python API** — Full functionality from command line or code
+- **MCP server** — Expose as tools for AI assistants (Claude Desktop, etc.)
+- **Visual grounding** — View chunks highlighted on original page images
+- **File monitoring** — Watch directories and auto-index on changes
+- **Time travel** — Query the database at any historical point with `--before`
+- **Inspector** — TUI for browsing documents, chunks, and search results
 
 ## Quick Start
 

docs/tutorial.md

@@ -86,21 +86,21 @@ Now you can view your [LanceDB](https://lancedb.com/) database, and the embeddin
 haiku-rag info
 ```
 
-You should see output like:
+You should see output similar to:
 
 ```
 haiku.rag database info
   path: /Users/moo/Library/Application Support/haiku.rag/haiku.rag.lancedb
-  haiku.rag version (db): 0.20.0
+  haiku.rag version (db): x.y.z
   embeddings: openai/text-embedding-3-small (dim: 1536)
   documents: 3 (storage: 48.0 KB)
   chunks: 3 (storage: 52.0 KB)
   vector index: not created
 ──────────────────────────────────────────────────────────────────────────────────
 Versions
-  haiku.rag: 0.20.0
-  lancedb: 0.25.2
-  docling: 2.58.0
+  haiku.rag: x.y.z
+  lancedb: ...
+  docling: ...
 ```
 
 ## Asking questions and retrieving information