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@mediapipe/tasks-genai-experimental
Advanced tools
This package contains experimental GenAI tasks for MediaPipe.
You can use the RAG Pipeline to augment an LLM Inference Task with existing knowledge.
const genaiFileset = await FilesetResolver.forGenAiTasks();
const genaiExperimentalFileset =
await FilesetResolver.forGenAiExperimentalTasks();
const llmInference = await LlmInference.createFromModelPath(genaiFileset, ...);
const ragPipeline = await RagPipeline.createWithEmbeddingModel(
genaiExperimentalFileset,
llmInference,
EMBEDDING_MODEL_URL,
);
await ragPipeline.recordBatchedMemory([
'Paris is the capital of France.',
'Berlin is the capital of Germany.',
]);
const result = await ragPipeline.generateResponse(
'What is the capital of France?',
);
console.log(result);
FAQs
MediaPipe GenAI Experimental Tasks
The npm package @mediapipe/tasks-genai-experimental receives a total of 110 weekly downloads. As such, @mediapipe/tasks-genai-experimental popularity was classified as not popular.
We found that @mediapipe/tasks-genai-experimental demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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