| Name | llama-index-tools-exa JSON |
| Version |
0.4.0
JSON |
| download |
| home_page | None |
| Summary | llama-index tools exa integration |
| upload_time | 2025-07-30 20:54:43 |
| maintainer | jeffzwang |
| docs_url | None |
| author | None |
| requires_python | <4.0,>=3.9 |
| license | None |
| keywords |
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| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# LlamaIndex Tools Integration: Exa
This tool connects to [Exa](https://exa.ai/) to easily enable
your agent to search and get HTML content from the Internet.
To begin, you need to obtain an API key on the [Exa developer dashboard](https://dashboard.exa.ai).
## Usage
This tool has more a extensive example usage documented in a Jupyter notebook [here](https://github.com/run-llama/llama_index/blob/main/llama-index-integrations/tools/llama-index-tools-exa/examples/exa.ipynb)
Here's an example usage of the ExaToolSpec.
```python
# %pip install llama-index llama-index-core llama-index-tools-exa
from llama_index.tools.exa import ExaToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
exa_tool = ExaToolSpec(
api_key=os.environ["EXA_API_KEY"],
)
agent = FunctionAgent(
tools=exa_tool.to_tool_list(),
llm=OpenAI(model="gpt-4.1"),
)
print(
await agent.run(
"Can you summarize the news published in the last month on superconductors"
)
)
```
`search`: Search for a list of articles relating to a natural language query
`retrieve_documents`: Retrieve a list of documents returned from `exa_search`.
`search_and_retrieve_documents`: Combines search and retrieve_documents to directly return a list of documents related to a search
`find_similar`: Find similar documents to a given URL.
`current_date`: Utility for the Agent to get todays date
This loader is designed to be used as a way to load data as a Tool in a Agent.
Raw data
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"description": "# LlamaIndex Tools Integration: Exa\n\nThis tool connects to [Exa](https://exa.ai/) to easily enable\nyour agent to search and get HTML content from the Internet.\n\nTo begin, you need to obtain an API key on the [Exa developer dashboard](https://dashboard.exa.ai).\n\n## Usage\n\nThis tool has more a extensive example usage documented in a Jupyter notebook [here](https://github.com/run-llama/llama_index/blob/main/llama-index-integrations/tools/llama-index-tools-exa/examples/exa.ipynb)\n\nHere's an example usage of the ExaToolSpec.\n\n```python\n# %pip install llama-index llama-index-core llama-index-tools-exa\n\nfrom llama_index.tools.exa import ExaToolSpec\nfrom llama_index.core.agent.workflow import FunctionAgent\nfrom llama_index.llms.openai import OpenAI\n\nexa_tool = ExaToolSpec(\n api_key=os.environ[\"EXA_API_KEY\"],\n)\nagent = FunctionAgent(\n tools=exa_tool.to_tool_list(),\n llm=OpenAI(model=\"gpt-4.1\"),\n)\n\nprint(\n await agent.run(\n \"Can you summarize the news published in the last month on superconductors\"\n )\n)\n```\n\n`search`: Search for a list of articles relating to a natural language query\n\n`retrieve_documents`: Retrieve a list of documents returned from `exa_search`.\n\n`search_and_retrieve_documents`: Combines search and retrieve_documents to directly return a list of documents related to a search\n\n`find_similar`: Find similar documents to a given URL.\n\n`current_date`: Utility for the Agent to get todays date\n\nThis loader is designed to be used as a way to load data as a Tool in a Agent.\n",
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