Embedchain is an open-source framework that simplifies the process of connecting Large Language Models (LLMs) to external data sources. It allows developers to build AI applications that can reason and respond based on real-time information retrieved from various data sources, such as websites, PDFs, databases, and more. Embedchain handles the complexities of data ingestion, embedding generation, and retrieval, enabling developers to focus on building the core logic of their AI applications. It uses vector databases to store and efficiently retrieve relevant information for LLMs, improving accuracy and reducing hallucinations. Embedchain targets developers and organizations looking to create intelligent applications that leverage the power of LLMs without extensive expertise in data engineering or machine learning.