| ## To use the vector store : | |
| # STEP: I - Download the entire repo (this includes the folder) | |
| ``` | |
| from huggingface_hub import snapshot_download | |
| repo_id = "sanketsans/Breaking-Bad" | |
| snapshot_download(repo_id=repo_id,local_dir=local_dir,repo_type="dataset") | |
| ``` | |
| # STEP: II - Import FAISS and load the indexes | |
| ``` | |
| from langchain_community.vectorstores import FAISS | |
| vector_store = FAISS.load_local( | |
| "faiss_index", embeds, allow_dangerous_deserialization=True | |
| ) | |
| ``` | |
| # STEP: III - Use as retriver / similarity search** | |
| ``` | |
| retriever = vector_store.as_retriever() | |
| ``` | |