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Documentation Index

Fetch the complete documentation index at: https://docs.praison.ai/llms.txt

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embedding

AI Agent Embedding module for PraisonAI Agents. This module provides a unified embedding API that can be used throughout the praisonaiagents package. It consolidates embedding functionality that was previously duplicated in memory.py and knowledge.py. Usage: >>> from praisonaiagents import embedding >>> result = embedding(“Hello world”) >>> print(result.embeddings[0][:5]) >>> from praisonaiagents.embedding import embedding, EmbeddingResult >>> result = embedding([“Hello”, “World”]) >>> print(len(result)) 2 The module uses lazy imports to avoid loading litellm until actually needed, ensuring zero performance impact on import time.

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Import

from praisonaiagents import embedding