Some of the most common applications that can be built on Stack AI rely on different components of our product. Below are some of the elements to look into for solving each task:

LLM TaskRecommended LLM(s)Useful Components & Architecture
Ask questions to several documents.GPT-3.5-turbo or Claude-v1Offline Data Loaders: Docs + Search, Data + Search URLs + Search
Browse the internet to perform researchClaude-v1-instant and GPT-3.5-turboData Loaders & Vector Databases: Input, LLM, Google Search, VectorDB, LLM, Output
Aggregate data from a database or tableGPT-3.5-turbo-16k or GPT-4-32kData Loaders & Document Readers: Input, Data Loader (Airtable, CSV, etc…), Doc Q&A, Output
Perform operations on a table or databaseGPT-4Plugins: Input, Table Analyzer, LLM, Output
Transcribe a document into a different formatGPT-3.5-turbo-16kDocument Readers: Input, Data Loader, Transcriber, Output

Explore all the different components and build over these architectures!

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