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Documentation Index

Fetch the complete documentation index at: https://exa.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Python
from exa_py import Exa

# instantiate the Exa client
exa = Exa("YOUR API KEY")

# basic search
results = exa.search("This is an Exa query:")

# search with highlights (recommended for agentic workflows)
results = exa.search("This is an Exa query:", contents={"highlights": True})

# search with date filters
results = exa.search("This is an Exa query:", start_published_date="2019-01-01", end_published_date="2019-01-31")

# search with domain filters
results = exa.search("This is an Exa query:", include_domains=["www.cnn.com", "www.nytimes.com"])

# search with custom contents options
results = exa.search(
  "This is an Exa query:",
  contents={
      "text": {"include_html_tags": True, "max_characters": 1000},
      "highlights": {"query": "This is the highlight query:"},
  },
)



# get text contents
results = exa.get_contents(["ids"])

# get highlights
results = exa.get_contents(["ids"], highlights=True)

# get contents with contents options
results = exa.get_contents(["ids"],
                         text={"include_html_tags": True, "max_characters": 1000},
                         highlights={"query": "This is the highlight query:"})

# basic answer
response = exa.answer("This is a query to answer a question")

# answer with full text
response = exa.answer("This is a query to answer a question", text=True)

# answer with streaming
response = exa.stream_answer("This is a query to answer:")

# Print each chunk as it arrives when using the stream_answer method
for chunk in response:
print(chunk, end='', flush=True)