Persistent Memory

[mouimet-infinisoft]

1. Storing Discussions as Persistent Memory

Objective: To store and retrieve past interactions with the AI, allowing the AI to refer back to previous discussions for context.

Approach:

• Database Storage: Use a database like PostgreSQL (since you're already using Supabase) to store the chat history. Each interaction can be stored with a timestamp and relevant metadata.
• Retrieval Mechanism: Implement a mechanism to query past interactions based on context or keywords.

Implementation Steps:

1. Set Up the Database: Create a table in PostgreSQL to store chat interactions.

   CREATE TABLE chat_history (
      id SERIAL PRIMARY KEY,
      user_id VARCHAR(50),
      message TEXT,
      response TEXT,
      timestamp TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP
   );

2. Store Interactions: Modify your chat application to store each interaction in the database.

   // Example using Supabase client in TypeScript
   const { data, error } = await supabase
      .from('chat_history')
      .insert([
          { user_id: 'user123', message: userMessage, response: aiResponse }
      ]);

3. Retrieve Past Interactions: Implement a function to fetch relevant past interactions.

   const { data, error } = await supabase
      .from('chat_history')
      .select('*')
      .eq('user_id', 'user123')
      .order('timestamp', { ascending: false })
      .limit(10);