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document AWS Bedrock backend in README privacy section and command reference
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@@ -241,7 +241,7 @@ The MCP server gives your assistant structured access: `query_graph`, `get_node`
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- **Code files** — processed locally via tree-sitter. Nothing leaves your machine.
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- **Video / audio** — transcribed locally with faster-whisper. Nothing leaves your machine.
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- **Docs, PDFs, images** — sent to your AI assistant for semantic extraction (via the `/graphify` skill, using whatever model your IDE session runs). Headless `graphify extract` requires `GEMINI_API_KEY` / `GOOGLE_API_KEY` (Gemini), `MOONSHOT_API_KEY` (Kimi), `ANTHROPIC_API_KEY` (Claude), `OPENAI_API_KEY` (OpenAI), or a running Ollama instance (`OLLAMA_BASE_URL`). The `--dedup-llm` flag uses the same key.
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- **Docs, PDFs, images** — sent to your AI assistant for semantic extraction (via the `/graphify` skill, using whatever model your IDE session runs). Headless `graphify extract` requires `GEMINI_API_KEY` / `GOOGLE_API_KEY` (Gemini), `MOONSHOT_API_KEY` (Kimi), `ANTHROPIC_API_KEY` (Claude), `OPENAI_API_KEY` (OpenAI), a running Ollama instance (`OLLAMA_BASE_URL`), or AWS credentials via the standard provider chain (Bedrock - no API key needed, uses IAM). The `--dedup-llm` flag uses the same key.
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- No telemetry, no usage tracking, no analytics.
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---
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@@ -297,6 +297,7 @@ graphify extract ./docs # headless LLM extraction for CI
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graphify extract ./docs --backend gemini # explicit backend: gemini, kimi, claude, openai, ollama, or bedrock
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graphify extract ./docs --backend gemini --model gemini-3.1-pro-preview
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graphify extract ./docs --backend ollama # local Ollama (set OLLAMA_BASE_URL / OLLAMA_MODEL)
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graphify extract ./docs --backend bedrock # AWS Bedrock via IAM - no API key, uses AWS credential chain
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graphify extract ./docs --google-workspace # export .gdoc/.gsheet/.gslides via gws before extraction
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graphify extract ./docs --no-cluster # raw extraction only, skip clustering
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graphify extract ./docs --dedup-llm # LLM tiebreaker for ambiguous entity pairs (uses same API key)
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