Added documentation for LlamaIndex Pebblo Safe DataLoader (#469)

* Added documentation for LlamaIndex Pebblo Safe DataReader

* Changed Llama application name

* Update llama_index_safe_reader.md

change Llama to LlamaIndex

---------

Co-authored-by: Rutuja Chaudhari <[email protected]>
Co-authored-by: Sridhar Ramaswamy <[email protected]>

docs/gh_pages/docs/llama_index_safe_reader.md

@@ -0,0 +1,61 @@
+# Pebblo Safe DataReader for LlamaIndex
+
+This document describes how to augment your existing LlamaIndex DocumentReader with Pebblo Safe DocumentReader to get deep data visibility on the types of Topics and Entities ingested into the Gen-AI LlamaIndex application. For details on `Pebblo Daemon` see this [pebblo server](daemon.md) document.
+
+Pebblo Safe DocumentReader enables safe data ingestion for LlamaIndex `DocumentReader`. This is done by wrapping the document reader call with `Pebblo Safe DocumentReader`
+
+## How to Pebblo enable Document Reading?
+
+Assume a LlamaIndex RAG application snippet using `CSVReader` to read a CSV document for inference.
+
+Here is the snippet of Document loading using `CSVReader`
+
+```
+from pathlib import Path
+from llama_index.readers.file import CSVReader
+reader = CSVReader()
+documents = reader.load_data(file=Path('data/corp_sens_data.csv'))
+print(documents)
+```
+
+The Pebblo SafeReader can be installed and enabled with few lines of code change to the above snippet.
+
+### Install PebbloSafeReader
+
+```
+pip install llama-index-readers-pebblo
+```
+
+### Use PebbloSafeReader
+
+```
+from pathlib import Path
+from llama_index.readers.pebblo import PebbloSafeReader
+from llama_index.readers.file import CSVReader
+reader = CSVReader()
+pebblo_reader = PebbloSafeReader(reader,
+    name="acme-corp-rag-1", # App name (Mandatory)
+    owner="Joe Smith", # Owner (Optional)
+    description="Support productivity RAG application"),
+    documents = pebblo_reader.load_data(file=Path('data/corp_sens_data.csv')
+)
+```
+
+A data report with all the findings, both Topics and Entities, will be generated and available for inspection in the `Pebblo Server`. See this [pebblo server](daemon.md) for further details.
+
+Note: By default Pebblo Server runs at localhost:8000. If your Pebblo Server is running at some other location for eg. a docker container etc, put the correct URL in `PEBBLO_CLASSIFIER_URL` env variable. ref: [server-configurations](config.md#server)
+
+```bash
+export PEBBLO_CLASSIFIER_URL="<pebblo-server-host:pebblo-server-port>"
+```
+
+## Supported Document Readers
+
+The following LlamaIndex DocumentReaders are currently supported.
+
+1. PDFReader
+1. DocxReader
+1. CSVReader
+
+
+> Note : _Most other LlamaIndex document readers that implement load_data() method should work. The above list indicates the ones that are explicitly tested. If you have successfully tested a particular DocumentReader other than this list above, please consider raising a PR.

docs/gh_pages/sidebars.ts

@@ -61,6 +61,13 @@ const sidebars: SidebarsConfig = {
       id: "retrieval_chain", // document ID
       label: "Safe Retriever for Langchain", // sidebar label
     },
+    {
+      type: "category",
+      label: "LlamaIndex", // sidebar label
+      items: [
+        { type: "doc", label: "Safe DataReader", id: "llama_index_safe_reader" },
+      ],
+    },
     {
       type: "doc",
       id: "reports", // document ID