Search and Retrieval APIs
Use Exa with LangChain
Exa connects to LangChain through a official adapter package path (langchain-exa (ExaSearchResults, ExaFindSimilarResults, ExaSearchRetriever)). This page records what that connection looks like and links the evidence behind it.
Pairing facts
Why this pairing
A search API for AI: natural-language queries over an index built for agents, with content returned in model-ready shapes.
Best for: Agents that need relevant evidence quickly, sized for the context window Research steps that benefit from deeper search modes with synthesis Pipelines that want structured JSON answers with sources attached
Not ideal for: Self-hosted stacks with no external API dependency Workloads that mostly fetch known URLs rather than discover sources
Configuration
import os
os.environ["EXA_API_KEY"] = "<your_exa_api_key>"Source: https://docs.langchain.com/oss/python/integrations/providers/exa_search. Examples use placeholders only.
Evidence
The LangChain Exa provider page states the Exa integration exists in its own partner package, requires EXA_API_KEY, and provides a retriever and agent tools.
https://docs.langchain.com/oss/python/integrations/providers/exa_search
Compatibility here means the cited page documents the pairing. It does not mean AgentsUse benchmarked the combination or that every version works unchanged. Pin versions, run the tool on a small job first, and review the first outputs before widening access.
Watch for
- Search does not support pagination; deep modes add seconds of latency per call.
- Requesting both highlights and full text bills two content views of the same page.