High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficien...
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High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.
pip install parallel-web
API key is configured. Uses Python SDK.
from parallel import Parallel client = Parallel(api_key="YOUR_KEY") response = client.beta.search( mode="one-shot", # or "fast" for lower latency/cost, "agentic" for multi-hop max_results=10, objective="your query" )
| Mode | Use Case | Tradeoff |
|---|---|---|
| Default, balanced accuracy | Best for most queries |
| Quick lookups, cost-sensitive | Lower latency/cost, may sacrifice some accuracy |
| Complex multi-hop research | Higher accuracy, more expensive |
# Default search (one-shot mode) {baseDir}/.venv/bin/python {baseDir}/scripts/search.py "Who is the CEO of Anthropic?" --max-results 5Fast mode - lower latency/cost ⚡
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "latest AI news" --mode fast
Agentic mode - complex research
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "compare transformer architectures" --mode agentic
JSON output
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "latest AI news" --json
Returns structured results with:
search_idresults[]urltitleexcerpts[]publish_dateusageDocs: https://docs.parallel.ai Platform: https://platform.parallel.ai
No automatic installation available. Please visit the source repository for installation instructions.
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