#implemented #VectorDatabase #RAG
Discover the core engine of your RAG pipeline! We break down the exact steps for implementing a vector database to store and retrieve semantic embeddings. Watch the hands-on demo to build a high-performance, context-aware AI backend that dramatically improves your LLM's retrieval accuracy.
Source code:
https://github.com/imademethink/RAG_s...
What makes it stand out?
Readymade code to act on many types of resource data input
Tech Stack:
Python 3.11x
#GenerativeAI #LLM #DataEngineering #MachineLearning #ArtificialIntelligence