RunnableParallel
RunnableParallel is a LangChain component that concurrently executes multiple runnables and returns their outputs keyed by runnable.
MongoDB 8.0 in Action, Third Edition
RunnableParallel is a LangChain runnable that evaluates multiple input mappings in parallel and returns their combined results.
- How it is used
- Coordinates parallel question and context preparation inside a LangChain retrieval-augmented generation chain.
- How deep it goes
- Explains input mapping and pipeline placement through intermediate steps, without detailing concurrency implementation internals.
- Examples
- Demonstrates MongoDB index retrieval through a LangServe playground query and visible intermediate chain outputs.
- What you can do after
- Operate a LangServe RAG chain and inspect how parallel inputs feed retrieval, prompt construction, and model generation.
Read how MongoDB 8.0 in Action, Third Edition explains RunnableParallel →
AI Agents and Applications
RunnableParallel is a LangChain runnable component that executes runnable operations across inputs in parallel.
- How it is used
- Coordinates concurrent LangChain operations for document mapping, research pipelines, and other independent work.
- How deep it goes
- Explains parallel sequence processing, keyed concurrent operations, .map(), and MapReduce trade-offs without detailing scheduler internals.
- Examples
- Demonstrates independent summaries for document chunks and concurrent search, extraction, and summarization operations.
- What you can do after
- Build parallel LangChain pipelines with keyed operations or .map(), then combine their outputs in a later stage.
Read how AI Agents and Applications explains RunnableParallel →
Related concepts
- embeddingproduces · A numerical vector representation of an item or input that encodes features or relationships useful for computational tasks.
- parallelismuses · Parallelism is the concurrent execution of multiple computational operations, often across multiple processing resources.
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