Question and Answer Chain#
Use the Question and Answer Chain node to use a vector store as a retriever.
On this page, you'll find the node parameters for the Question and Answer Chain node, and links to more resources.
Node parameters#
Query#
The question you want to ask.
Templates and examples#
Related resources#
Refer to LangChain's documentation on retrieval chains for examples of how LangChain can use a vector store as a retriever.
View n8n's Advanced AI documentation.
- completion: Completions are the responses generated by a model like GPT.
- hallucinations: Hallucination in AI is when an LLM (large language model) mistakenly perceives patterns or objects that don't exist.
- vector database: A vector database stores mathematical representations of information. Use with embeddings and retrievers to create a database that your AI can access when answering questions.
- vector store: A vector store, or vector database, stores mathematical representations of information. Use with embeddings and retrievers to create a database that your AI can access when answering questions.