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docs: document the privacy-filter.cpp backend (#10386)
docs: document the privacy-filter.cpp backend in README and compatibility table The privacy-filter.cpp backend (#10360) was registered in backend/index.yaml and referenced from the PII feature docs, but was missing from the backend catalog surfaces. Add it to the README "Backends built by us" table, the compatibility table (Utilities & Other, CPU/CUDA 13/Vulkan), and the backend type list in the backends feature doc. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
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@@ -131,6 +131,6 @@ LocalAI supports various types of backends:
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- **Image & Video Generation Backends**: For diffusion models (e.g., stable-diffusion.cpp, diffusers)
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- **Vision & Detection Backends**: For object detection, segmentation, depth, and face/voice recognition (e.g., rf-detr.cpp, locate-anything.cpp, sam3.cpp, insightface)
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- **Audio Processing Backends**: For voice activity detection and audio enhancement (e.g., Silero VAD, LocalVQE)
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- **Utility Backends**: For reranking, fine-tuning, quantization, and vector storage (e.g., rerankers, TRL, local-store)
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- **Utility Backends**: For reranking, PII/NER token classification, fine-tuning, quantization, and vector storage (e.g., rerankers, privacy-filter.cpp, TRL, local-store)
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See the [Backend & Model Compatibility Table]({{%relref "reference/compatibility-table" %}}) for the full catalog.
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@@ -113,6 +113,7 @@ All backends listed here can be installed on demand from the [Backend Gallery]({
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| Backend | Description | Acceleration |
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|---------|-------------|-------------|
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| [rerankers](https://github.com/AnswerDotAI/rerankers) | Document reranking for RAG | CUDA 12, ROCm, Intel SYCL, Metal |
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| [privacy-filter.cpp](https://github.com/localai-org/privacy-filter.cpp) | Standalone GGML engine for the openai-privacy-filter PII/NER token-classification model family (powers LocalAI's PII redaction tier) | CPU, CUDA 13, Vulkan |
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| [local-store](https://github.com/mudler/LocalAI) | Local-first vector database for embeddings | CPU, Metal |
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| [TRL](https://github.com/huggingface/trl) | Fine-tuning (SFT, DPO, GRPO, RLOO, KTO, ORPO) | CPU, CUDA 12/13 |
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| [llama.cpp quantization](https://github.com/ggml-org/llama.cpp) | HuggingFace → GGUF model conversion and quantization | CPU, Metal |
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