ChatQnA Applications with OPEA and IBM DPK
Businesses face difficulties balancing standardization and customization when building GenAI applications to meet domain-specific needs
Lack of standardization leads to inconsistent solutions, inefficient scaling, and increased operational overhead for AI systems
Generic AI models often fail in domain-specific accuracy, alignment with business goals, and compliance with data privacy regulations
OPEA provides standardized, modular blueprints for building enterprise-grade GenAI systems, including RAG-based architectures
OPEA’s architecture includes interchangeable components for embedding, retrieval, reranking, and inference services
OPEA supports workflows for common GenAI tasks like document summarization and chatbots, ensuring consistency and scalability
OPEA prevents vendor lock-in by integrating open-source technologies and supporting diverse hardware and cloud environments
DPK is an open-source toolkit that simplifies data preparation for AI and LLM applications, from ingestion to embedding creation
DPK includes modules for ingestion, cleaning, chunking, annotation, and embedding creation, streamlining data workflows
DPK supports distributed processing frameworks like Apache Spark and Ray, enabling enterprise-scale workloads
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