diff --git a/examples/extract/asset_manager_fund_analysis.ipynb b/examples/extract/asset_manager_fund_analysis.ipynb index 72bca9a9..d9ff32d8 100644 --- a/examples/extract/asset_manager_fund_analysis.ipynb +++ b/examples/extract/asset_manager_fund_analysis.ipynb @@ -7,7 +7,7 @@ "source": [ "# Extraction and Analysis over a Fidelity Multi-Fund Annual Report\n", "\n", - "\"Open\n", + "\"Open\n", "\n", "In this notebook we show you how to create an agentic document workflow over a complex document that contains annual reports for multiple funds - each fund reports financials in a standardized reporting structure, and it's all consolidated in the same document.\n", "\n", diff --git a/examples/extract/automotive_sector_analysis.ipynb b/examples/extract/automotive_sector_analysis.ipynb index 49ad1516..dd94d1bf 100644 --- a/examples/extract/automotive_sector_analysis.ipynb +++ b/examples/extract/automotive_sector_analysis.ipynb @@ -7,7 +7,7 @@ "source": [ "# Automotive Equity Research: A Multi-Step Agentic Workflow\n", "\n", - "\"Open\n", + "\"Open\n", "\n", "This notebook demonstrates an end‑to‑end agentic workflow using LlamaExtract and the LlamaIndex event‑driven workflow framework for automotive sector analysis.\n", "\n", diff --git a/examples/parse/advanced_rag/dynamic_section_retrieval.ipynb b/examples/parse/advanced_rag/dynamic_section_retrieval.ipynb index 7bc70123..bd7ceebd 100644 --- a/examples/parse/advanced_rag/dynamic_section_retrieval.ipynb +++ b/examples/parse/advanced_rag/dynamic_section_retrieval.ipynb @@ -7,7 +7,7 @@ "source": [ "# Dynamic Section Retrieval with LlamaParse\n", "\n", - "\"Open\n", + "\"Open\n", "\n", "This notebook showcases a concept called \"dynamic section retrieval\".\n", "\n", diff --git a/examples/parse/demo_advanced.ipynb b/examples/parse/demo_advanced.ipynb index 7abdc11d..39bb1ac3 100644 --- a/examples/parse/demo_advanced.ipynb +++ b/examples/parse/demo_advanced.ipynb @@ -6,7 +6,7 @@ "source": [ "# Advanced RAG with LlamaParse\n", "\n", - "\"Open\n", + "\"Open\n", "\n", "This notebook is a complete walkthrough for using LlamaParse with advanced indexing/retrieval techniques in LlamaIndex over the Apple 10K Filing. \n", "\n", diff --git a/examples/parse/demo_excel.ipynb b/examples/parse/demo_excel.ipynb index 6adffca9..6a002cd3 100644 --- a/examples/parse/demo_excel.ipynb +++ b/examples/parse/demo_excel.ipynb @@ -6,7 +6,7 @@ "source": [ "# RAG with Excel Spreadsheet using LlamaPrase\n", "\n", - "\"Open\n", + "\"Open\n", "\n", "This notebook shows you using LlamaParse with Excel Spreadsheet.\n", "\n", diff --git a/examples/parse/demo_get_charts.ipynb b/examples/parse/demo_get_charts.ipynb index 15c3b753..d674f27a 100644 --- a/examples/parse/demo_get_charts.ipynb +++ b/examples/parse/demo_get_charts.ipynb @@ -7,7 +7,7 @@ "source": [ "# Download Charts\n", "\n", - "\"Open\n", + "\"Open\n", "\n", "This notebook demonstrates how to download charts from a document using the result object.\n", "\n", diff --git a/examples/parse/demo_insurance.ipynb b/examples/parse/demo_insurance.ipynb index 7d3a9f25..cbd2d407 100644 --- a/examples/parse/demo_insurance.ipynb +++ b/examples/parse/demo_insurance.ipynb @@ -6,7 +6,7 @@ "source": [ "# LlamaParse - Fast checking Insurance Contract for Coverage\n", "\n", - "\"Open\n", + "\"Open\n", "\n", "In this notebook we will look at how LlamaParse can be used to extract structured coverage information from an insurance policy.\n", "\n", @@ -36,7 +36,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Download an insurance policy fron IRDAI\n", + "## Download an insurance policy from IRDAI\n", "\n", "The Insurance Regulatory and Development Authority of India (IRDAI) maintains a great resource: https://policyholder.gov.in/web/guest/non-life-insurance-products where all insurance policies available in India are publicly available for download! Let's download a complex health insurance policy as an example." ] @@ -228,11 +228,11 @@ " result_type=\"markdown\",\n", " system_prompt_append=\"\"\"\n", "This document is an insurance policy.\n", - "When a benefits/coverage/exlusion is describe in the document ammend to it add a text in the follwing benefits string format (where coverage could be an exclusion).\n", + "When a benefits/coverage/exlusion is describe in the document amend to it add a text in the following benefits string format (where coverage could be an exclusion).\n", "\n", "For {nameofrisk} and in this condition {whenDoesThecoverageApply} the coverage is {coverageDescription}. \n", " \n", - "If the document contain a benefits TABLE that describe coverage amounts, do not ouput it as a table, but instead as a list of benefits string.\n", + "If the document contain a benefits TABLE that describe coverage amounts, do not output it as a table, but instead as a list of benefits string.\n", " \n", "\"\"\",\n", ").aparse(\"./policy.pdf\")\n", diff --git a/examples/parse/demo_json_tour.ipynb b/examples/parse/demo_json_tour.ipynb index d2712d08..15fa3f6d 100644 --- a/examples/parse/demo_json_tour.ipynb +++ b/examples/parse/demo_json_tour.ipynb @@ -7,7 +7,7 @@ "source": [ "# LlamaParse `JobResult` Tour\n", "\n", - "\"Open\n", + "\"Open\n", "\n", "The `JobResult` object is the main object returned by the LlamaParse API. It contains all the information about the job, including the parsed data, metadata, and any errors.\n", "\n", diff --git a/examples/parse/demo_languages.ipynb b/examples/parse/demo_languages.ipynb index 50b14ce3..14b70eb4 100644 --- a/examples/parse/demo_languages.ipynb +++ b/examples/parse/demo_languages.ipynb @@ -9,7 +9,7 @@ "\n", "LlamaParse supports users to specify a `language` parameter before uploading documents, giving users better OCR capabilities over non-English PDFs, parsing images into more accurate representations.\n", "\n", - "You can specify 80+ different languages: see this file for a full list of supported languages: https://github.com/run-llama/llama_cloud_services/blob/main/llama_parse/base.py.\n", + "You can specify 80+ different languages: see this file for a full list of supported languages: https://github.com/run-llama/llama_cloud_services/blob/main/py/llama_cloud_services/parse/base.py.\n", "\n", "This notebook shows a demo of this in action. \n", "\n", diff --git a/examples/parse/excel/o1_excel_rag.ipynb b/examples/parse/excel/o1_excel_rag.ipynb index 2a5a1245..025def49 100755 --- a/examples/parse/excel/o1_excel_rag.ipynb +++ b/examples/parse/excel/o1_excel_rag.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\"Open" + "\"Open" ] }, { diff --git a/examples/parse/parsing_modes/demo_auto_mode.ipynb b/examples/parse/parsing_modes/demo_auto_mode.ipynb index b56ea96d..daae8d60 100644 --- a/examples/parse/parsing_modes/demo_auto_mode.ipynb +++ b/examples/parse/parsing_modes/demo_auto_mode.ipynb @@ -740,7 +740,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In this example, these pages aren't going to be that different when parsed, but we can verify which pages triggered auto-made by looking at the [JSON output](https://github.com/run-llama/llama_cloud_services/blob/main/examples/demo_json_tour.ipynb) of LlamaParse:" + "In this example, these pages aren't going to be that different when parsed, but we can verify which pages triggered auto-made by looking at the [JSON output](https://github.com/run-llama/llama_cloud_services/blob/main/examples/parse/demo_json_tour.ipynb) of LlamaParse:" ] }, {