Oct 5, 2018 · How should I design my PosgreSQL database to accommodate Private, Group, and Public Chat?

Oct 25, 2021 · For example, if channel X has users A and B, there cannot be a channel Y that has users A and B. However, there can be a channel Z that has users A, B and C. I thought about two solutions: trigger; a column with an array of sorted user ids, which would be unique; Is there anything more elegant? I'm using postgres.

Learn how to design an efficient and scalable schema for a chat application using PostgreSQL, including tables, indexes, and relationships.

Sep 26, 2018 · Group Chat - (3+ Users) I am still new to database design and would like some insight on how to design my database. What is a good design/schema that would allow me to have these capabilities?

The Chat Application Model Database is designed to provide a robust and structured data storage solution for a chat application. It serves as the backbone for managing user accounts, friend relationships, and chat messaging features within the application.

Jan 30, 2022 · Chats and members are stored in PostgreSQL and messages are stored in MongoDB. There is a table called events in both databases. i just keep chat_ids and creation time of the events in PostgreSQL and the data of events in MongoDB.

Jul 2, 2023 · We will start by creating a simple chatbot that can answer questions about documents. Then, we will show you how to use LangChain to interact with a language model, PostgreSQL to store documents, and Drizzle to query documents.

The Chat History node supplies conversation context to the AI Agent. The AI Agent calls the PostgreSQL nodes as external tools, generating and sending dynamic SQL queries. The Groq Chat Model processes the consolidated input from the agent and outputs the natural language response delivered to the user. Testing the Workflow

Mar 12, 2024 · This guide dives into the challenge of ensuring continuity and context in Large Language Model (LLM) interactions, revealing how PostgreSQL can be the key to managing chat histories...

Aug 2, 2011 · You can programmatically limit the topics between two users by looking which topic has those two users in its recipients. You could also separate your messages by giving them a type attribute. For example, type 0 will be an inbox message, type 1 …