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docs: boolean flags

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Andy Lee
2025-08-15 11:50:46 -07:00
parent 6709afe38b
commit 92739c7899
1 changed files with 26 additions and 27 deletions
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README.md
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@@ -186,34 +186,34 @@ All RAG examples share these common parameters. **Interactive mode** is availabl
```bash
# Core Parameters (General preprocessing for all examples)
--index-dir DIR # Directory to store the index (default: current directory)
--query "YOUR QUESTION" # Single query mode. Omit for interactive chat (type 'quit' to exit), and now you can play with your index interactively
--max-items N # Limit data preprocessing (default: -1, process all data)
--force-rebuild # Force rebuild index even if it exists
--index-dir DIR # Directory to store the index (default: current directory)
--query "YOUR QUESTION" # Single query mode. Omit for interactive chat (type 'quit' to exit), and now you can play with your index interactively
--max-items N # Limit data preprocessing (default: -1, process all data)
--force-rebuild # Force rebuild index even if it exists
# Embedding Parameters
--embedding-model MODEL # e.g., facebook/contriever, text-embedding-3-small, mlx-community/Qwen3-Embedding-0.6B-8bit or nomic-embed-text
--embedding-mode MODE # sentence-transformers, openai, mlx, or ollama
--embedding-model MODEL # e.g., facebook/contriever, text-embedding-3-small, mlx-community/Qwen3-Embedding-0.6B-8bit or nomic-embed-text
--embedding-mode MODE # sentence-transformers, openai, mlx, or ollama
# LLM Parameters (Text generation models)
--llm TYPE # LLM backend: openai, ollama, or hf (default: openai)
--llm-model MODEL # Model name (default: gpt-4o) e.g., gpt-4o-mini, llama3.2:1b, Qwen/Qwen2.5-1.5B-Instruct
--thinking-budget LEVEL # Thinking budget for reasoning models: low/medium/high (supported by o3, o3-mini, GPT-Oss:20b, and other reasoning models)
--llm TYPE # LLM backend: openai, ollama, or hf (default: openai)
--llm-model MODEL # Model name (default: gpt-4o) e.g., gpt-4o-mini, llama3.2:1b, Qwen/Qwen2.5-1.5B-Instruct
--thinking-budget LEVEL # Thinking budget for reasoning models: low/medium/high (supported by o3, o3-mini, GPT-Oss:20b, and other reasoning models)
# Search Parameters
--top-k N # Number of results to retrieve (default: 20)
--search-complexity N # Search complexity for graph traversal (default: 32)
--top-k N # Number of results to retrieve (default: 20)
--search-complexity N # Search complexity for graph traversal (default: 32)
# Chunking Parameters
--chunk-size N # Size of text chunks (default varies by source: 256 for most, 192 for WeChat)
--chunk-overlap N # Overlap between chunks (default varies: 25-128 depending on source)
--chunk-size N # Size of text chunks (default varies by source: 256 for most, 192 for WeChat)
--chunk-overlap N # Overlap between chunks (default varies: 25-128 depending on source)
# Index Building Parameters
--backend-name NAME # Backend to use: hnsw or diskann (default: hnsw)
--graph-degree N # Graph degree for index construction (default: 32)
--build-complexity N # Build complexity for index construction (default: 64)
--no-compact # Disable compact index storage (compact storage IS enabled to save storage by default)
--no-recompute # Disable embedding recomputation (recomputation IS enabled to save storage by default)
--backend-name NAME # Backend to use: hnsw or diskann (default: hnsw)
--graph-degree N # Graph degree for index construction (default: 32)
--build-complexity N # Build complexity for index construction (default: 64)
--compact / --no-compact # Use compact storage (default: true). Must be `no-compact` for `no-recompute` build.
--recompute / --no-recompute # Enable/disable embedding recomputation (default: enabled). Should not do a `no-recompute` search in a `recompute` build.
```
</details>
@@ -500,11 +500,11 @@ leann build INDEX_NAME --docs DIRECTORY [OPTIONS]
Options:
--backend {hnsw,diskann} Backend to use (default: hnsw)
--embedding-model MODEL Embedding model (default: facebook/contriever)
--graph-degree N Graph degree (default: 32)
--complexity N Build complexity (default: 64)
--force Force rebuild existing index
--compact Use compact storage (default: true)
--recompute Enable recomputation (default: true)
--graph-degree N Graph degree (default: 32)
--complexity N Build complexity (default: 64)
--force Force rebuild existing index
--compact / --no-compact Use compact storage (default: true). Must be `no-compact` for `no-recompute` build.
--recompute / --no-recompute Enable recomputation (default: true)
```
**Search Command:**
@@ -512,10 +512,9 @@ Options:
leann search INDEX_NAME QUERY [OPTIONS]
Options:
--top-k N Number of results (default: 5)
--complexity N Search complexity (default: 64)
--recompute Use recomputation for highest accuracy
--no-recompute Disable recomputation (requires non-compact HNSW index)
--top-k N Number of results (default: 5)
--complexity N Search complexity (default: 64)
--recompute / --no-recompute Enable/disable embedding recomputation (default: enabled). Should not do a `no-recompute` search in a `recompute` build.
--pruning-strategy {global,local,proportional}
```