# 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: | LLM Task | Recommended LLM(s) | Useful Components & Architecture | | --------------------------------------------- | --------------------------------------- | --------------------------------------------------------------------------------------------- | | 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! --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.stackai.com/hidden-pages/common-architectures.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.