MLK research resources (#703)

Author: Paul-Cornell

docs.json

@@ -267,7 +267,8 @@
               "examplecode/codesamples/oss/table-source-connector",
               "examplecode/codesamples/oss/multi-files-api-processing",
               "examplecode/codesamples/apioss/table-extraction-from-pdf",
-              "examplecode/codesamples/api/huggingchat"
+              "examplecode/codesamples/api/huggingchat",
+              "examplecode/codesamples/api/mlk-research"
             ]
           },
           {

examplecode/codesamples/api/mlk-research.mdx

@@ -0,0 +1,34 @@
+---
+title: Historical research about Dr. Martin Luther King, Jr.
+sidebarTitle: MLK research chatbot
+---
+
+The legacy of the [Reverend Dr. Martin Luther King, Jr.](https://thekingcenter.org/about-tkc/martin-luther-king-jr/) 
+is one of courage, justice, and transformation. Historical records surrounding the assassination of Dr. King on 
+April 4, 1968 were declassified on July 21, 2025 by the 
+[U.S. National Archives and Records Administration](https://www.archives.gov/research/mlk). These documents provide 
+important insights into a pivotal moment in American history and the civil rights movement.
+
+Unstructured has published several resources that allow you to use techniques such as retrieval-augmented generation (RAG) to 
+explore these documents and use them in your own applications. These resources include:
+
+- The [MLK Archive Research Assistant](https://mlk-public.demo.unstructured.io/) website, hosted by Unstructured, 
+  which allows you to ask natural-language questions about these documents and get back answers in natural language, all in chatbot-style format. 
+  To support these answers, source citations are also provided, including confidence scores and page references.
+- A [notebook](https://colab.research.google.com/github/Unstructured-IO/unstructured-mlk-archive-public/blob/main/MLK_Archive_RAG_Application.ipynb), 
+  developed by Unstructured and hosted in [Google Colab](https://colab.google/), which demonstrates how to use a 
+  [Jupyter notebook](https://jupyter-notebook.readthedocs.io/en/latest/notebook.html#notebook-documents) to access the same 
+  resources as the preceding MLK Archive Research Assistant website. 
+- A [GitHub repository](https://github.com/Unstructured-IO/unstructured-mlk-archive-public) that contains additional details and 
+  source code for the preceding resources.
+- A [raw dataset](http://example-transformations-mlk-archive.s3-website-us-east-1.amazonaws.com/) website, also hosted by Unstructured, 
+  that contains links to all of the released 6,301 PDF source files spanning 243,496 pages of content, and 1 MP3 audio source file, for your own use. Additionally, 
+  Unstructured has processed these PDF source files and made the processed output available as a single, downloadable 12.9 GB 
+  [JSON Lines](https://jsonlines.org/) file through this website.
+
+For questions, feedback, or bug reports about any of the Unstructured-provided resources, 
+[post an issue](https://github.com/Unstructured-IO/unstructured-mlk-archive-public/issues/new) on GitHub. You can also 
+[view and track open issues](https://github.com/Unstructured-IO/unstructured-mlk-archive-public/issues).
+
+For questions or feedback about the historical records themselves, 
+[contact the National Archives](https://www.archives.gov/research/mlk#contact).