What is FAISS?
FAISS (Facebook AI Similarity Search) is an open-source library that allows fast and scalable similarity search over vector data. It’s widely used for building AI apps that need to match input queries with relevant stored knowledge.
Installing FAISS
Note: Use faiss-gpu if you’re working with a GPU for faster performance.
Creating and storing embeddings
First, generate embeddings for your text using an embedding model like OpenAI or HuggingFace:
Querying relevant information
You can now perform a similarity search by passing a user query:
FAISS will return the document with the most relevant semantic match to the query.
