Common Pipeline Architectures

Below is a table for the some common architectures for basic pipelines describing what models and nodes to use

TaskLLM ModelNodes to use

Document Q/A

GPT-3.5-Turbo or Claude-instant

Input, Output, Semantic search, LLM (fill in system and prompt fields)

Chatbot

GPT-3.5-Turbo

Input, Output, LLM (fill in system and prompt fields), Chat Memory

Perform operations on data

GPT 4-Turbo

Input, Output, CSV Query Loader

Search the internet

GPT-3.5-Turbo or Claude-instant

Input, Output, SerpAPI data loader, Semantic Search, LLM (fill in system and prompt fields)

Create research reports on documents

GPT 4-Turbo

Input, Output, File Loader, Semantic Search, LLM (fill in system and prompt fields)

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