README fix, update Table Of Contents, fix and better memory backend s…

…etup guide

README.md

@@ -48,19 +48,20 @@ Your support is greatly appreciated
     - [Docker](#docker)
     - [Command Line Arguments](#command-line-arguments)
   - [🗣️ Speech Mode](#️-speech-mode)
+    - [List of IDs with names from eleven labs, you can use the name or ID:](#list-of-ids-with-names-from-eleven-labs-you-can-use-the-name-or-id)
+  - [OpenAI API Keys Configuration](#openai-api-keys-configuration)
   - [🔍 Google API Keys Configuration](#-google-api-keys-configuration)
     - [Setting up environment variables](#setting-up-environment-variables)
   - [Memory Backend Setup](#memory-backend-setup)
     - [Redis Setup](#redis-setup)
     - [🌲 Pinecone API Key Setup](#-pinecone-api-key-setup)
     - [Milvus Setup](#milvus-setup)
-    - [Setting up environment variables](#setting-up-environment-variables-1)
-  - [Setting Your Cache Type](#setting-your-cache-type)
   - [View Memory Usage](#view-memory-usage)
   - [🧠 Memory pre-seeding](#-memory-pre-seeding)
   - [💀 Continuous Mode ⚠️](#-continuous-mode-️)
   - [GPT3.5 ONLY Mode](#gpt35-only-mode)
   - [🖼 Image Generation](#-image-generation)
+  - [Selenium](#selenium)
   - [⚠️ Limitations](#️-limitations)
   - [🛡 Disclaimer](#-disclaimer)
   - [🐦 Connect with Us on Twitter](#-connect-with-us-on-twitter)
@@ -262,7 +263,18 @@ export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"
 export CUSTOM_SEARCH_ENGINE_ID="YOUR_CUSTOM_SEARCH_ENGINE_ID"
 ```
 
-## Redis Setup
+## Memory Backend Setup
+
+By default, Auto-GPT is going to use LocalCache.
+To switch to either, change the `MEMORY_BACKEND` env variable to the value that you want:
+
+- `local` (default) uses a local JSON cache file
+- `pinecone` uses the Pinecone.io account you configured in your ENV settings
+- `redis` will use the redis cache that you configured
+- `milvus` will use the milvus that you configured
+
+### Redis Setup
+
 > _**CAUTION**_ \
 This is not intended to be publicly accessible and lacks security measures. Therefore, avoid exposing Redis to the internet without a password or at all
 1. Install docker desktop
@@ -301,20 +313,6 @@ Pinecone enables the storage of vast amounts of vector-based memory, allowing fo
 2. Choose the `Starter` plan to avoid being charged.
 3. Find your API key and region under the default project in the left sidebar.
 
-### Milvus Setup
-
-[Milvus](https://milvus.io/) is a open-source, high scalable vector database to storage huge amount of vector-based memory and provide fast relevant search.
-
-- setup milvus database, keep your pymilvus version and milvus version same to avoid compatible issues.
-  - setup by open source [Install Milvus](https://milvus.io/docs/install_standalone-operator.md)
-  - or setup by [Zilliz Cloud](https://zilliz.com/cloud)
-- set `MILVUS_ADDR` in `.env` to your milvus address `host:ip`.
-- set `MEMORY_BACKEND` in `.env` to `milvus` to enable milvus as backend.
-- optional
-  - set `MILVUS_COLLECTION` in `.env` to change milvus collection name as you want, `autogpt` is the default name.
-
-### Setting up environment variables
-
 In the `.env` file set:
 - `PINECONE_API_KEY`
 - `PINECONE_ENV` (example: _"us-east4-gcp"_)
@@ -338,15 +336,17 @@ export PINECONE_ENV="<YOUR_PINECONE_REGION>" # e.g: "us-east4-gcp"
 export MEMORY_BACKEND="pinecone"
 ```
 
-## Setting Your Cache Type
-
-By default, Auto-GPT is going to use LocalCache instead of redis or Pinecone.
+### Milvus Setup
 
-To switch to either, change the `MEMORY_BACKEND` env variable to the value that you want:
+[Milvus](https://milvus.io/) is a open-source, high scalable vector database to storage huge amount of vector-based memory and provide fast relevant search.
 
-* `local` (default) uses a local JSON cache file
-* `pinecone` uses the Pinecone.io account you configured in your ENV settings
-* `redis` will use the redis cache that you configured
+- setup milvus database, keep your pymilvus version and milvus version same to avoid compatible issues.
+  - setup by open source [Install Milvus](https://milvus.io/docs/install_standalone-operator.md)
+  - or setup by [Zilliz Cloud](https://zilliz.com/cloud)
+- set `MILVUS_ADDR` in `.env` to your milvus address `host:ip`.
+- set `MEMORY_BACKEND` in `.env` to `milvus` to enable milvus as backend.
+- optional
+  - set `MILVUS_COLLECTION` in `.env` to change milvus collection name as you want, `autogpt` is the default name.
 
 ## View Memory Usage
 
@@ -355,7 +355,8 @@ To switch to either, change the `MEMORY_BACKEND` env variable to the value that
 
 ## 🧠 Memory pre-seeding
 
-# python autogpt/data_ingestion.py -h 
+    python autogpt/data_ingestion.py -h 
+
 usage: data_ingestion.py [-h] (--file FILE | --dir DIR) [--init] [--overlap OVERLAP] [--max_length MAX_LENGTH]
 
 Ingest a file or a directory with multiple files into memory. Make sure to set your .env before running this script.
@@ -368,7 +369,8 @@ options:
   --overlap OVERLAP        The overlap size between chunks when ingesting files (default: 200)
   --max_length MAX_LENGTH  The max_length of each chunk when ingesting files (default: 4000)
 
-# python autogpt/data_ingestion.py --dir seed_data --init --overlap 200 --max_length 1000
+    python autogpt/data_ingestion.py --dir seed_data --init --overlap 200 --max_length 1000
+
 This script located at autogpt/data_ingestion.py, allows you to ingest files into memory and pre-seed it before running Auto-GPT. 
 
 Memory pre-seeding is a technique that involves ingesting relevant documents or data into the AI's memory so that it can use this information to generate more informed and accurate responses.