Real ChatGPT answer · index seedxQceJ1IHVHkcompleteB2B software · AI and automation toolsinformational
How do I prevent hallucinations in LangChain agents when they reference outdated internal wiki pages during live customer interactions
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I prevent hallucinations in LangChain agents when they reference outdated internal wiki pages during live customer interactions
1 real search · 1 real-search pass
LangChain documentation retrieval metadata filtering vector store retriever document metadata filters prompt injection grounding citations agentsGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
LangChain documentation retrieval metadata filtering vector store retriever document metadata filters prompt injection grounding citations agents Google ↗
- Context Engineering (Agent Memory) for AI Agents Starts with Retrieval · langchain.com
- docs/src/oss/langchain/knowledge-base.mdx at main · langchain-ai/docs · github.com
- as_retriever | langchain_core · reference.langchain.com
- VectorStoreRetriever | @langchain/core · reference.langchain.com