Exa | Web API for AI

Why Exa?

Better data, better LLM results

Exa is the first meaning-based web search powered by embeddings. It unlocks data no other search can, making your AI more relevant, factual, and reducing hallucinations.

Highly customizable search

You have total control. Powerful filters such as date, category and domain. Choose # of results (1-1000s) and extractions. You name it.

Get content from any webpage

Choose if you want to get just links, full parsed text content, key highlights or customizable summaries per URL.

Built for production and scale

High rate limits, low latency and high reliability. Ready to scale with your application.

Just a few lines of code

pip install exa_py

from exa_py import Exa
exa = Exa("EXA_API_KEY")

results = exa.search(
  "latest development in machine learning",
  category="papers"
)

{
  "results": [
    {
      "score": 0.1836702525615692,
      "title": "Asymptotically Optimal Regret for Black-Box Predict-then-Optimize",
      "id": "https://arxiv.org/abs/2406.07866",
      "url": "https://arxiv.org/abs/2406.07866",
      "publishedDate": "2024-06-12",
      "author": "Tan; Samuel; Frazier; Peter I"
    },
    {
      "score": 0.18168984353542328,
      "title": "Machine Unlearning for Uplink Interference Cancellation",
      "id": "https://arxiv.org/abs/2406.05945",
      "url": "https://arxiv.org/abs/2406.05945",
      "publishedDate": "2024-06-10",
      "author": "Guven; Eray; Kurt; Gunes Karabulut"
    },
    {
      "score": 0.17979080975055695,
      "title": "Attention as an RNN",
      "id": "https://arxiv.org/abs/2405.13956",
      "url": "https://arxiv.org/abs/2405.13956",
      "publishedDate": "2024-05-22",
      "author": "Feng; Leo; Tung; Frederick; Hajimirsadeghi; Hossein; Ahmed; Mohamed Osama; Bengio; Yoshua; Mori; Greg"
    },
    {
      "score": 0.17959752678871155,
      "title": "FaithFill: Faithful Inpainting for Object Completion Using a Single Reference Image",
      "id": "https://arxiv.org/abs/2406.07865",
      "url": "https://arxiv.org/abs/2406.07865",
      "publishedDate": "2024-06-12",
      "author": "Mallick; Rupayan; Abdalla; Amr; Bargal; Sarah Adel"
    },
    {
      "score": 0.17918667197227478,
      "title": "Talking Heads: Understanding Inter-layer Communication in Transformer Language Models",
      "id": "https://arxiv.org/abs/2406.09519",
      "url": "https://arxiv.org/abs/2406.09519",
      "publishedDate": "2024-06-13",
      "author": "Merullo; Jack; Eickhoff; Carsten; Pavlick; Ellie"
    },
    {
      "score": 0.17634162306785583,
      "title": "FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar",
      "id": "https://arxiv.org/abs/2406.04546",
      "url": "https://arxiv.org/abs/2406.04546",
      "publishedDate": "2024-06-06",
      "author": "Kahya; Sabri Mustafa; Sivrikaya; Boran Hamdi; Yavuz; Muhammet Sami; Steinbach; Eckehard"
    },
    {
      "score": 0.17634151875972748,
      "title": "xLSTM: Extended Long Short-Term Memory",
      "id": "https://arxiv.org/abs/2405.04517",
      "url": "https://arxiv.org/abs/2405.04517",
      "publishedDate": "2024-05-07",
      "author": "Beck; Maximilian; Pöppel; Korbinian; Spanring; Markus; Auer; Andreas; Prudnikova; Oleksandra; Kopp; Michael; Klambauer; Günter; Brandstetter; Johannes; Hochreiter; Sepp"
    },
    {
      "score": 0.17621161043643951,
      "title": "World Models with Hints of Large Language Models for Goal Achieving",
      "id": "https://arxiv.org/abs/2406.07381",
      "url": "https://arxiv.org/abs/2406.07381",
      "publishedDate": "2024-06-11",
      "author": "Liu; Zeyuan; Huan; Ziyu; Wang; Xiyao; Lyu; Jiafei; Tao; Jian; Li; Xiu; Furong; Xu; Huazhe"
    },
    {
      "score": 0.17613205313682556,
      "title": "Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images",
      "id": "https://arxiv.org/abs/2405.03762",
      "url": "https://arxiv.org/abs/2405.03762",
      "publishedDate": "2024-05-06",
      "author": "Gomez; Jorge Tapias; Rangnekar; Aneesh; Williams; Hannah; Thompson; Garcia-Aguilar; Julio; Smith; Joshua Jesse; Veeraraghavan; Harini"
    },
    {
      "score": 0.17593073844909668,
      "title": "MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes",
      "id": "https://arxiv.org/abs/2404.15668",
      "url": "https://arxiv.org/abs/2404.15668",
      "publishedDate": "2024-04-24",
      "author": "Ma; Xiaolong; Yan; Feng; Lei; Foster; Ian; Papka; Michael E; Liu; Zhengchun; Kettimuthu; Rajkumar"
    }
  ],
  "requestId": "abb0f98756d6c722ca35e06e0970652b"
}