Updated Readme, removed files

README.md

@@ -1,12 +1,24 @@
 ### Multi-Agent Workflow Demo
 
-## Goals
-- Use common Python dependencies to connect together multiple AI agents
+Welcome to an in-progress demo for a multi-agent setup.
+
+## Current Status
+- Streamlit app has authentication and can handle both text and speech modalities
+- AI assistant has tools to understand and query the attached database to help the user
+
+# Next steps:
+- Save conversation memory and cache database knowledge for each user
+- Integrate with SharePoint data environment to expand assistant capabilities
+- Create a vector store of the database as an additional tool for quick retrieval
+    - This will be necessary for larger dbs, or dbs containing large documents
+
+## Overall Goals
+- Offer a user both text and speech modalities to accomplish tasks utilizing their own data
+- Use common Python dependencies to connect together multiple AI agents that work together to determine how best to serve the user
 - Include tool use that allows those agents to engage in semantic search and make SQL queries
-- Use a test database to test operations
-- Deploy simple frontends for testing different interactions with the agents
+- Integrate with sample data sources so this model can be replicated easily with other databases using SQL
 
-## Setup
+## Replicating This Setup
 - Must use a SQLite database or db file
 - app folder contains deployments
 - agents folder contains the agent setups