Griptape

Griptape

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Griptape is a modular Python framework that helps developers build, deploy, and scale AI applications, integrating secure data access and retrieval-driven capabilities.

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Build, deploy, and scale end-to-end AI applications in the cloud. Griptape gives developers everything they need to build, deploy, and scale retrieval-driven AI-powered applications, from the development framework to the execution runtime. 🎢 Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. ☁️ Griptape Cloud is a one-stop shop to hosting your AI structures, whether they are built with Griptape, another framework, or call directly to the LLMs themselves. Simply point to your GitHub repository to get started. 🔥 Run your hosted code by hitting a basic API layer from wherever you need, offloading the expensive tasks of AI development to the cloud. 📈 Automatically scale workloads to fit your needs.

Griptape is a versatile platform designed to support the development of applications that integrate large language models with up-to-date and private data. It offers a range of features to enhance retrieval augmented generation (RAG) capabilities, enabling developers to create more accurate and tailored results. A key component is Griptape Cloud Retrievers, which provides a fully-managed implementation of the RAG Engine. This feature includes query modification and reranking capabilities, allowing for more precise data retrieval and application responses.

One of Griptape's central capabilities is its ability to perform similarity searches using vector stores. Additionally, it offers query modification techniques such as query expansion and Hypothetical Document Embedding (HyDE), which can significantly improve query accuracy by generating hypothetical answers and enhancing the original query. This functionality supports applications requiring tight integration between large language models and specific datasets, making it an effective tool for developers working on RAG applications. Griptape's features are designed to help developers streamline their development process and create more reliable and personalized application outputs.

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Website: griptape.ai

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