AI-assistant-ollama. This project demonstrates how to use various components from the langchain_community and langchain_core libraries to load, transform, embed, and retrieve documents from a PostgreSQL database with PGVector enabled. The documents are sourced from URLs, transformed into text, split into manageable chunks, and stored as vectors in the DB for retrieval

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.