Build, Deploy, and Scale End-to-End Solutions, from LLM-Powered Data Prep and Retrieval to AI Agents, Pipelines, and Workflows.
Griptape gives developers everything they need, from the open source AI framework (Griptape AI Framework) to the execution runtime (Griptape AI Cloud).
Build &
Secure
- Build your business logic using predictable, programmable python - don’t gamble on prompting.
- Turn any developer into an AI developer.
- Off-Prompt™ gives you better security, performance, and lower costs.
Deploy &
Scale
- Deploy and run the ETL, RAG, and structures you developed.
- Simple API abstractions.
- Skip the infrastructure management.
- Scale seamlessly so you can grow with your workload requirements.
Sample Applications Built on Griptape
🎢 Griptape AI Framework
Griptape provides clean and clear abstractions for building Gen AI Agents, Systems of Agents, Pipelines, Workflows, and RAG implementations without having to spend weeks learning Gen AI nor need to ever learn Prompt Engineering.
Build
Build ETL pipelines to prep your data for secure LLM access.
Compose
Compose retrieval patterns that give fast, accurate, detailed information.
Write
Write agents, pipelines, and workflows (i.e. structures) to integrate your business logic.
🌩️ Griptape AI Cloud
Skip the infrastructure management. We’ll host and operate everything for you, from the data processing pipeline to the retrieval-ready database to the serverless application runtime. Simple to complex, one layer of the stack or the whole enchilada, we’ve got you covered.
Automated Data Prep
(ETL)
Connect any data source and extract. Prep/transform it (extract, clean, chunk, embed, add metadata). Load it into a vector database index.
Retrieval as a Service
(RAG)
Generate answers, summaries, and details from your own data. Use ready-made retrieval patterns, customize them to fit your use case, or compose your own from scratch (Modular RAG).
Structure Runtime
(RUN)
Build your own AI agents, pipelines, and workflows. Real-time interfaces, transactional processes, batch workloads. Plug them into client applications.
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