retrieve
Embed the query (BGE-small) and pull the top semantic matches from the corpus.
Live · Generative AI · Agentic
LangGraph agentic RAG
Single-shot RAG retrieves once and answers. This agentic version is a LangGraph state machine: it retrieves, grades whether the context is good enough, and if not, rewrites the query and retrieves again before generating. Ask a question and watch the graph execute node by node.
Try one
Graph execution
The LangGraph nodes that ran — and any query rewrite — will appear here.
Knowledge base
0 curated AI-consulting articles.
How it works
grade
The LLM judges whether the retrieved context can actually answer the question — RELEVANT or WEAK.
rewrite
If WEAK, the LLM rewrites the query with clearer terms and retrieval runs again.
generate
Once context is good enough, the LLM answers using only the retrieved context.
LangGraph
A real StateGraph with a conditional edge — the loop and branching are graph structure, not prompt tricks.
Production swap
Add hybrid retrieval + reranking, swap in Claude, and add human-in-the-loop interrupts — same graph.
Want agentic RAG over your own corpus?
We build production agentic RAG with hybrid retrieval, self-grading, query rewriting, groundedness eval gates, and citation-grade answers — on your documents, with Claude or GPT behind it.
Ready to start
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