Common Architectures
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:
Ask questions to several documents.
GPT-3.5-turbo or Claude-v1
Offline Data Loaders: Websites, Data + Search URLs + Search
Browse the internet to perform research
Claude-v1-instant and GPT-3.5-turbo
Data Loaders & Vector Databases: Input, LLM, Google Search, VectorDB, LLM, Output
Aggregate data from a database or table
GPT-3.5-turbo-16k or GPT-4-32k
Data Loaders & Document Readers: Input, Data Loader (Airtable, CSV, etc...), Doc Q&A, Output
Perform operations on a table or database
GPT-4
Plugins: Input, Table Analyzer, LLM, Output
Transcribe a document into a different format
GPT-3.5-turbo-16k
Document Readers: Input, Data Loader, Transcriber, Output
Explore all the different components and build over these architectures!
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