Claude (Anthropic)
LLMState-of-the-art language model with strong instruction-following and low hallucination rate. Well-suited for complex business reasoning, long-document analysis, and draft generation.
Curated tools and resources
State-of-the-art language model with strong instruction-following and low hallucination rate. Well-suited for complex business reasoning, long-document analysis, and draft generation.
Widely adopted API offering GPT-4o and o-series models. Strong ecosystem, extensive documentation, and function-calling support for tool integration.
Open-source framework for orchestrating LLM-powered applications. Provides tools for RAG pipelines, agent loops, memory management, and integration with dozens of data sources and vector stores.
Managed vector database optimised for semantic search and RAG workloads. Handles embedding storage and approximate nearest-neighbour retrieval at scale, without infrastructure management.
Open-source tool for testing and evaluating LLM prompts. Run your prompt variants against a test set, compare models side by side, detect regressions, and get reproducible evaluation scores.
Tuplify Studio turns these concepts into working software.
Discuss your project