Atomic-man007/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
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Jul 29, 2024
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