ZeroxPDFLoader is a document loader that leverages the Zerox library. Zerox converts PDF documents into images, processes them using a vision-capable language model, and generates a structured Markdown representation. This loader allows for asynchronous operations and provides page-level document extraction.
Appropriate credentials need to be set up in environment variables. The loader supports number of different models and model providers. See Usage header below to see few examples or Zerox documentation for a full list of supported models.
To use ZeroxPDFLoader, you need to install the zerox package. Also make sure to have langchain-community installed.
ZeroxPDFLoader enables PDF text extraction using vision-capable language models by converting each page into an image and processing it asynchronously. To use this loader, you need to specify a model and configure any necessary environment variables for Zerox, such as API keys.
If you're working in an environment like Jupyter Notebook, you may need to handle asynchronous code by using nest_asyncio. You can set this up as follows:
Document(metadata={'source': 'https://assets.ctfassets.net/f1df9zr7wr1a/soP1fjvG1Wu66HJhu3FBS/034d6ca48edb119ae77dec5ce01a8612/OpenAI_Sacra_Teardown.pdf', 'page': 1, 'num_pages': 5}, page_content='# OpenAI\n\nOpenAI is an AI research laboratory.\n\n#ai-models #ai\n\n## Revenue\n- **$1,000,000,000** \n 2023\n\n## Valuation\n- **$28,000,000,000** \n 2023\n\n## Growth Rate (Y/Y)\n- **400%** \n 2023\n\n## Funding\n- **$11,300,000,000** \n 2023\n\n---\n\n## Details\n- **Headquarters:** San Francisco, CA\n- **CEO:** Sam Altman\n\n[Visit Website](#)\n\n---\n\n## Revenue\n### ARR ($M) | Growth\n--- | ---\n$1000M | 456%\n$750M | \n$500M | \n$250M | $36M\n$0 | $200M\n\nis on track to hit $1B in annual recurring revenue by the end of 2023, up about 400% from an estimated $200M at the end of 2022.\n\nOpenAI overall lost about $540M last year while developing ChatGPT, and those losses are expected to increase dramatically in 2023 with the growth in popularity of their consumer tools, with CEO Sam Altman remarking that OpenAI is likely to be "the most capital-intensive startup in Silicon Valley history."\n\nThe reason for that is operating ChatGPT is massively expensive. One analysis of ChatGPT put the running cost at about $700,000 per day taking into account the underlying costs of GPU hours and hardware. That amount—derived from the 175 billion parameter-large architecture of GPT-3—would be even higher with the 100 trillion parameters of GPT-4.\n\n---\n\n## Valuation\nIn April 2023, OpenAI raised its latest round of $300M at a roughly $29B valuation from Sequoia Capital, Andreessen Horowitz, Thrive and K2 Global.\n\nAssuming OpenAI was at roughly $300M in ARR at the time, that would have given them a 96x forward revenue multiple.\n\n---\n\n## Product\n\n### ChatGPT\n| Examples | Capabilities | Limitations |\n|---------------------------------|-------------------------------------|------------------------------------|\n| "Explain quantum computing in simple terms" | "Remember what users said earlier in the conversation" | May occasionally generate incorrect information |\n| "What can you give me for my dad\'s birthday?" | "Allows users to follow-up questions" | Limited knowledge of world events after 2021 |\n| "How do I make an HTTP request in JavaScript?" | "Trained to provide harmless requests" | |')
# OpenAI
OpenAI is an AI research laboratory.
#ai-models #ai
## Revenue
- **$1,000,000,000**
2023
## Valuation
- **$28,000,000,000**
2023
## Growth Rate (Y/Y)
- **400%**
2023
## Funding
- **$11,300,000,000**
2023
---
## Details
- **Headquarters:** San Francisco, CA
- **CEO:** Sam Altman
[Visit Website](#)
---
## Revenue
### ARR ($M) | Growth
--- | ---
$1000M | 456%
$750M |
$500M |
$250M | $36M
$0 | $200M
is on track to hit $1B in annual recurring revenue by the end of 2023, up about 400% from an estimated $200M at the end of 2022.
OpenAI overall lost about $540M last year while developing ChatGPT, and those losses are expected to increase dramatically in 2023 with the growth in popularity of their consumer tools, with CEO Sam Altman remarking that OpenAI is likely to be "the most capital-intensive startup in Silicon Valley history."
The reason for that is operating ChatGPT is massively expensive. One analysis of ChatGPT put the running cost at about $700,000 per day taking into account the underlying costs of GPU hours and hardware. That amount—derived from the 175 billion parameter-large architecture of GPT-3—would be even higher with the 100 trillion parameters of GPT-4.
---
## Valuation
In April 2023, OpenAI raised its latest round of $300M at a roughly $29B valuation from Sequoia Capital, Andreessen Horowitz, Thrive and K2 Global.
Assuming OpenAI was at roughly $300M in ARR at the time, that would have given them a 96x forward revenue multiple.
---
## Product
### ChatGPT
| Examples | Capabilities | Limitations |
|---------------------------------|-------------------------------------|------------------------------------|
| "Explain quantum computing in simple terms" | "Remember what users said earlier in the conversation" | May occasionally generate incorrect information |
| "What can you give me for my dad's birthday?" | "Allows users to follow-up questions" | Limited knowledge of world events after 2021 |
| "How do I make an HTTP request in JavaScript?" | "Trained to provide harmless requests" | |
The loader always fetches results lazily. .load() method is equivalent to .lazy_load()
This loader class initializes with a file path and model type, and supports custom configurations via zerox_kwargs for handling Zerox-specific parameters.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4