---
id: langchain-exa
version: "1.1.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# langchain-exa — An integration package connecting Exa and LangChain

License: permissive · Maintenance: active · Downloads: 222.9K/mo

## What it is and what it does

langchain-exa is a LangChain integration package that connects the Exa web search API to LangChain applications. It allows developers to add web search capabilities to AI agents and language model workflows, retrieving clean, structured content from web pages without needing to parse HTML or manage raw search results themselves.

The package wraps Exa's search functionality into LangChain's tool and integration patterns, making it straightforward to incorporate live web search into retrieval-augmented generation (RAG) pipelines, chatbots, or other AI systems. It depends on exa-py for API communication and langchain-core for integration patterns, and requires Python 3.10 or later.

Use it for:

- Add live web search to a LangChain agent so it can retrieve current information during reasoning tasks.
- Build a retrieval-augmented generation (RAG) system that supplements a language model with fresh web content.
- Create a chatbot that can search the web for answers to user questions in real time.
- Integrate web search into a multi-tool AI workflow where search results inform downstream processing.
- Prototype AI applications that need access to up-to-date web information without managing search infrastructure.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Integrates Exa's web search API with LangChain, enabling AI applications to search the web and retrieve clean, ready-to-use content from pages.

Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It fills a clear need for developers building LangChain applications that require web search. Install it if you are building a LangChain agent or RAG system and need to incorporate live web search results.

## Install

pip install langchain-exa
uv add langchain-exa
poetry add langchain-exa

## Installing langchain-exa

Before you install: Low install friction with only two runtime dependencies (exa-py and langchain-core). The package is actively maintained with recent commits and has been in production-stable status since its first release in January 2024.

License in practice: MIT license is permissive, allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.

Quickstart:

pip install langchain-exa

from langchain_exa import ExaSearchResults

search = ExaSearchResults()
results = search.run("your search query")

Requires Python 3.10 or later (supports 3.10–3.14). An Exa API key is needed to authenticate requests to the Exa search service.

Verify before relying:

- Exact API authentication mechanism and credential setup process
- Rate limits or quota constraints imposed by Exa service
- Performance characteristics (latency, result quality) compared to other web search integrations

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 222.9K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

langchain web search integration, exa search api for ai, web search with langchain, ai-powered web search, langchain exa integration, search api for language models, web content retrieval for ai, langchain-integration, web-search, rag

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