Quickstart

response = valyu.search(
    "Extending context window of large language models via positional interpolation",
    search_type="proprietary",
    max_num_results=5,
    max_price=30,
    included_sources=["valyu/valyu-arxiv"]
)

# Get detailed academic content with citations
print(response.results[0].content)

{
    "success": true,
    "error": "",
    "tx_id": "tx_55e65c6f-3607-4ebe-892b-e964b9c72a8d",
    "query": "Extending context window of large language models via positional interpolation",
    "results": [
      {
        "id": "55e65c6f-3607-4ebe-892b-e964b9c72a8d:2306.15595:1",
        "title": "Extending Context Window of Large Language Models via Positional Interpolation",
        "url": "https://arxiv.org/abs/2306.15595?utm_source=valyu.network&utm_medium=referral",
        "content": "#### 2.3 PROPOSED APPROACH: POSITION INTERPOLATION (PI)\n\n#### 2.1 BACKGROUND: ROTARY POSITION EMBEDDING (ROPE)\n\nTransformer models require explicit positional information to be injected, typically in the form of positional encodings, to represent the order of inputs. We consider Rotary Position Embedding (RoPE) (Su et al., 2021), which is the position encoding used in the LLaMA model...\n\n$$\\mathbf{f}(\\mathbf{x},m)=[(x_{0}+\\mathrm{i}x_{1})e^{im\\theta_{0}},(x_{2}+\\mathrm{i}x_{3})e^{im\\theta_{1}},\\ldots,(x_{d-2}+\\mathrm{i}x_{d-1})e^{im\\theta_{d/2-1}}]^{\\top}$$",
        "source": "valyu/valyu-arxiv",
        "length": 593,
        "image_url": {
          "_page_4_Figure_2.jpeg": "https://prod-s3-vyplatform-processeddata.s3.amazonaws.com/valyu/Arxiv-new/eb030308-a71b-5227-8ddf-9dbeeb1c6e12/_page_4_Figure_2.jpeg"
        },
        "publication_date": "2023-01-01",
        "doi": "https://doi.org/10.48550/arxiv.2306.15595",
        "citation": "Shouyuan Chen et al. (2023). Extending Context Window of Large Language Models via Positional Interpolation.",
        "citation_count": 25,
        "authors": [
          "Shouyuan Chen",
          "S.H. Wong", 
          "Liangjian Chen",
          "Yuandong Tian"
        ],
        "price": 0.0005,
        "data_type": "unstructured",
        "source_type": "paper",
        "relevance_score": 0.8071867796187081
      }
    ],
    "results_by_source": {
        "proprietary": 1,
        "web": 0
    }
}

response = valyu.search(
    "Pfizer stock price since COVID-19 outbreak",
    search_type="proprietary",
    max_num_results=1,
    max_price=30                  # Maximum price for a thousand retreivals (CPM)
)

# The response includes structured JSON data
print(response.results[0].content)

{
    "success": true,
    "error": "",
    "tx_id": "tx_6a2568cf-a3f4-4860-9b6e-96b35e398b7f",
    "query": "Price of TSLA today?",
    "results": [
      {
        "title": "Price of PFE every 1mo between 2020-01-01 00:00 and 2025-05-26 00:00",
        "url": "https://platform.valyu.network/context-enrichment/valyu/valyu-stocks-US/characteristics",
        "content": [
          {
              "datetime": "2025-05-01 04:00:00",
              "open": 24,
              "high": 24,
              "low": 22,
              "close": 23,
              "volume": 78776482
          },
          {
            ...
          }
        ],
        "source": "valyu/valyu-stocks-US",
        "price": 0.006,
        "length": 8175,
        "image_url": null,
        "data_type": "structured",
        "source_type": "data",
        "relevance_score": 0.6277149030411012
      }
    ],
    "results_by_source": {
        "proprietary": 1,
        "web": 0
    }
}