diff --git a/memgpt/personas/examples/docqa/README.md b/memgpt/personas/examples/docqa/README.md
index 1daa7f8..d18fc41 100644
--- a/memgpt/personas/examples/docqa/README.md
+++ b/memgpt/personas/examples/docqa/README.md
@@ -1,8 +1,17 @@
-# MemGPT Search over LlamaIndex API Docs
+# MemGPT over LlamaIndex API Docs
+
+MemGPT enables you to chat with your data -- try running this example to talk to the LlamaIndex API docs!
 
 1. 
-    a. Download embeddings and docs index from XYZ.
-    -- OR --
+    a. Download embeddings and docs index from [HuggingFace](https://huggingface.co/datasets/MemGPT/llamaindex-api-docs).
+   ```bash
+   # Make sure you have git-lfs installed (https://git-lfs.com)
+   git lfs install
+   git clone https://huggingface.co/datasets/MemGPT/llamaindex-api-docs
+   ```
+   
+    **-- OR --**
+   
     b. Build the index:
     1. Build llama_index API docs with `make text`. Instructions [here](https://github.com/run-llama/llama_index/blob/main/docs/DOCS_README.md). Copy over the generated `_build/text` folder to this directory.
     2. Generate embeddings and FAISS index.
@@ -10,4 +19,16 @@
         python3 scrape_docs.py
         python3 generate_embeddings_for_docs.py all_docs.jsonl
         python3 build_index.py --embedding_files all_docs.embeddings.jsonl --output_index_file all_docs.index
-        ```
\ No newline at end of file
+        ```
+
+2. In the root `MemGPT` directory, run
+    ```bash
+    python3 main.py --archival_storage_faiss_path=<ARCHIVAL_STORAGE_FAISS_PATH> --persona=memgpt_doc --human=basic
+    ```
+    where `ARCHIVAL_STORAGE_FAISS_PATH` is the directory where `all_docs.jsonl` and `all_docs.index` are located.
+   If you downloaded from HuggingFace, it will be `memgpt/personas/docqa/llamaindex-api-docs`.
+
+## Demo
+<div align="center">
+    <img src="https://memgpt.ai/assets/img/docqa_demo.gif" alt="MemGPT demo video for llamaindex api docs search" width="800">
+</div>