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Question and Answer Chain node#

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.

Refer to LangChain's documentation on retrieval chains for examples of how LangChain can use a vector store as a retriever.

View Localmind Automate's Advanced AI documentation.

Common issues#

For common errors or issues and suggested resolution steps, refer to Common Issues.

AI glossary#

  • 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.