Appen offers advanced data solutions focusing on sourcing, annotating, and evaluating data to improve AI and machine learning models. Their services provide clients with reliable, high-quality datasets tailored to various AI applications. Appen's expertise aids in making AI models more accurate and efficient by providing meticulously curated data and specialized evaluation services. With over 25 years of experience, Appen supports some of the world’s leading technology companies in deploying trustworthy AI solutions.

The AI Applications Catalogue by Juan Beltran provides an extensive range of AI solutions across a multitude of fields. It is designed to help users discover the best AI tools, whether they are looking to streamline business processes, enhance academic research, or innovate digital marketing strategies. The catalogue is meticulously curated to ensure users have access to the most advanced and effective AI applications available. Each entry includes detailed information about the tool's features, benefits, and potential use cases.

AI_RAG delivers a modular retrieval-augmented generation solution that combines document indexing, vector search, embedding generation, and LLM-driven response composition. Users prepare corpora of text documents, connect a vector store like FAISS or Pinecone, configure embedding and LLM endpoints, and run the indexing process. When a query arrives, AI_RAG retrieves the most relevant passages, feeds them alongside the prompt into the chosen language model, and returns a contextually grounded answer. Its extensible design allows custom connectors, multi-model support, and fine-grained control over retrieval and generation parameters, ideal for knowledge bases and advanced conversational agents.