diff --git a/gpt4all-bindings/python/docs/gpt4all_chat.md b/gpt4all-bindings/python/docs/gpt4all_chat.md
index 2638631d..7e3f2856 100644
--- a/gpt4all-bindings/python/docs/gpt4all_chat.md
+++ b/gpt4all-bindings/python/docs/gpt4all_chat.md
@@ -1,13 +1,40 @@
-# GPT4All Chat Client
+# GPT4All Chat UI
 
 The [GPT4All Chat Client](https://gpt4all.io) lets you easily interact with any local large language model.
 
 It is optimized to run 7-13B parameter LLMs on the CPU's of any computer running OSX/Windows/Linux.
 
 
+## Plugins
+GPT4All Chat Plugins allow you to expand the capabilities of Local LLMs. All plugins are compatible with the
+chat clients server mode.
+
+### LocalDocs Plugin (Chat With Your Data)
+LocalDocs is a GPT4All plugin that allows you to chat with your local files and data.
+It allows you to utilize powerful local LLMs to chat with private data without any data leaving your computer or server.
+When using LocalDocs, your LLM will cite the sources that most likely contributed to a given output. Note, even an LLM equipped with LocalDocs can hallucinate.
+
+#### Enabling LocalDocs
+1. Install the latest version of GPT4All Chat from https://gpt4all.io.
+2. Go to `Settings > the LocalDocs tab`.
+3. Configure a collection (folder) on your computer that contains the files your LLM should have access to. You can alter the contents of the folder/directory at anytime. As you
+add more files to your collection, your LLM will dynamically be able to access them.
+4. Spin up a chat session with any LLM (including external ones like ChatGPT but warning data will leave your machine!)
+5. At the top right, click the database icon and select which collection you want your LLM to know about.
+6. Start chatting! 
+
+### How it works
+LocalDocs works by maintaining an index of all data in the directory your collection is linked to. This index
+consists of small chunks of each document that the LLM can receive as additional input when you ask it a question.
+This helps it respond to your queries with knowledge about the contents of your data.
+The number of chunks and the size of each chunk can be configured in the LocalDocs plugin settings tab.
+For indexing speed purposes, LocalDocs uses pre-deep-learning n-gram and tfidf based retrieval when deciding
+what documents your LLM should have as context in response to a question. You'll find its of comparable quality
+with embedding based retrieval approaches but magnitudes faster to ingest data. Don't worry, embedding based semantic
+search for retrieval is on the roadmap for those with more powerful computers - pick up the feature on Github!
 
 
-## GPT4All Chat Server Mode
+## Server Mode
 
 GPT4All Chat comes with a built-in server mode allowing you to programmatically interact
 with any supported local LLM through a *very familiar* HTTP API. You can find the API documentation [here](https://platform.openai.com/docs/api-reference/completions).