🗃️ QA and Chat over Documents
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🗃️ Retrieval-augmented generation (RAG)
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📄️ Tabular Question Answering
Lots of data and information is stored in tabular data, whether it be csvs, excel sheets, or SQL tables.
📄️ Interacting with APIs
Lots of data and information is stored behind APIs.
📄️ Summarization
A common use case is wanting to summarize long documents.
🗃️ Agent Simulations
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🗃️ Autonomous Agents
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📄️ Chatbots
Language models are good at producing text, which makes them ideal for creating chatbots.
📄️ Extraction
Most APIs and databases still deal with structured information. Therefore, in order to better work with those, it can be useful to extract structured information from text. Examples of this include: