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To fortify AI initiatives in production, Guardrails microservice can secure model inputs and outputs, building Trustworthy, Safe, and Secure LLM-based Applications.
Copy file name to clipboardExpand all lines: docker_images_list.md
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|[opea/finetuning-gaudi](https://hub.docker.com/r/opea/finetuning-gaudi)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/finetuning/Dockerfile.intel_hpu)| The docker image exposed the OPEA Fine-tuning microservice for GenAI application use on the Gaudi |
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|[opea/gmcrouter](https://hub.docker.com/r/opea/gmcrouter)|[Link](https://github.com/opea-project/GenAIInfra/blob/main/microservices-connector/Dockerfile.manager)| The docker image served as one of key parts of the OPEA GenAI Microservice Connector(GMC) to route the traffic among the microservices defined in GMC |
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|[opea/gmcmanager](https://hub.docker.com/r/opea/gmcmanager)|[Link](https://github.com/opea-project/GenAIInfra/blob/main/microservices-connector/Dockerfile.router)| The docker image served as one of key parts of the OPEA GenAI Microservice Connector(GMC) to be controller manager to handle GMC CRD |
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|[opea/guardrails-tgi](https://hub.docker.com/r/opea/guardrails-tgi)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/guardrails/llama_guard/langchain/Dockerfile)| The docker image exposed the OPEA guardrail microservice to provide content review for GenAI application use |
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|[opea/guardrails-toxicity-detection](https://hub.docker.com/r/opea/guardrails-toxicity-detection)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/guardrails/toxicity_detection/Dockerfile)| The docker image exposed the OPEA guardrail microservice to provide toxicity detection for GenAI application use |
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|[opea/guardrails-pii-detection](https://hub.docker.com/r/opea/guardrails-pii-detection)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/guardrails/pii_detection/Dockerfile)| The docker image exposed the OPEA guardrail microservice to provide PII detection for GenAI application use |
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|[opea/guardrails]()|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/guardrails/src/guardrails/Dockerfile)| The docker image exposed the OPEA guardrail microservice to provide content review for GenAI application use |
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|[opea/guardrails-toxicity-detection](https://hub.docker.com/r/opea/guardrails-toxicity-detection)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/guardrails/src/toxicity_detection/Dockerfile)| The docker image exposed the OPEA guardrail microservice to provide toxicity detection for GenAI application use |
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|[opea/guardrails-pii-detection](https://hub.docker.com/r/opea/guardrails-pii-detection)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/guardrails/src/pii_detection/Dockerfile)| The docker image exposed the OPEA guardrail microservice to provide PII detection for GenAI application use |
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|[opea/llm-docsum-tgi](https://hub.docker.com/r/opea/llm-docsum-tgi)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/llms/summarization/tgi/langchain/Dockerfile)| This docker image is designed to build a document summarization microservice using the HuggingFace Text Generation Inference(TGI) framework. The microservice accepts document input and generates a document summary. |
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|[opea/llm-faqgen-tgi](https://hub.docker.com/r/opea/llm-faqgen-tgi)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/llms/faq-generation/tgi/langchain/Dockerfile)| This docker image is designed to build a frequently asked questions microservice using the HuggingFace Text Generation Inference(TGI) framework. The microservice accepts document input and generates a FAQ. |
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|[opea/llm-textgen](https://hub.docker.com/r/opea/llm-textgen)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/llms/src/text-generation/Dockerfile)| The docker image exposed the OPEA LLM microservice upon TGI docker image for GenAI application use |
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|[opea/lvm-video-llama](https://hub.docker.com/r/opea/lvm-video-llama)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/lvms/video-llama/Dockerfile)| The docker image exposed the OPEA microservice running Video-Llama as a large visual model (LVM) for GenAI application use |
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|[opea/nginx](https://hub.docker.com/r/opea/nginx)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/3rd_parties/nginx/src/Dockerfile)| The docker image exposed the OPEA nginx microservice for GenAI application use |
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|[opea/promptregistry-mongo-server](https://hub.docker.com/r/opea/promptregistry-mongo-server)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/prompt_registry/mongo/Dockerfile)| The docker image exposes the OPEA Prompt Registry microservices which based on MongoDB database, designed to store and retrieve user's preferred prompts |
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|[opea/reranking-tei](https://hub.docker.com/r/opea/reranking-tei)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/reranks/src/Dockerfile)| The docker image exposed the OPEA reranking microservice based on tei docker image for GenAI application use |
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|[opea/reranking]()|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/rerankings/src/Dockerfile)| The docker image exposed the OPEA reranking microservice based on tei docker image for GenAI application use |
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|[opea/retriever-milvus](https://hub.docker.com/r/opea/retriever-milvus)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/retrievers/milvus/langchain/Dockerfile)| The docker image exposed the OPEA retrieval microservice based on milvus vectordb for GenAI application use |
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|[opea/retriever-pathway](https://hub.docker.com/r/opea/retriever-pathway)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/retrievers/pathway/langchain/Dockerfile)| The docker image exposed the OPEA retrieval microservice with pathway for GenAI application use |
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|[opea/retriever-pgvector](https://hub.docker.com/r/opea/retriever-pgvector)|[Link](https://github.com/opea-project/GenAIComps/blob/main/comps/retrievers/pgvector/langchain/Dockerfile)| The docker image exposed the OPEA retrieval microservice based on pgvector vectordb for GenAI application use |
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