I am a retired engineer trying to understand setting up LangChain agents for local document search so where should I begin
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am a retired engineer trying to understand setting up LangChain agents for local document search so where should I begin
1 real search · 1 real-search pass
LangChain documentation retrieval RAG tutorials agents Python local documents Ollama Chroma 2026Google ↗
OBSERVEDOther / navigational
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.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
LangChain documentation retrieval RAG tutorials agents Python local documents Ollama Chroma 2026 Google ↗
- Build a RAG agent with LangChain · langchaindocs.sitemirror.store
- Retrieval · langchaindocs.sitemirror.store