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Back FAISS: index.faiss and index.pkl 15 Oct, 2025

Now let’s make this super clear with visuals and explanation, because this is a key concept in understanding FAISS and vector databases.


Question: When index create in database it will be named as index.faiss?

🧠 Short Answer

✅ Yes —
When you create and save a FAISS index to disk (using .save_local() or similar),
it gets stored as a binary file named

index.faiss


📦 Long Answer (With Visual Flow)

When you use FAISS (either directly or through LangChain / custom classes like FaissManager),
you typically create a vector index from document embeddings like this:

from langchain.vectorstores import FAISS

faiss_index = FAISS.from_texts(texts, embedding=embedding_function)
faiss_index.save_local("faiss_index")

💾 What Happens Internally

The save_local("faiss_index") method will create a folder named faiss_index
and store two files inside it:

File Description
🧠 index.faiss The main FAISS binary file — stores all the numeric embeddings (vectors)
📄 index.pkl The metadata file — stores document text, IDs, and metadata mapping

📂 Resulting Directory Structure

faiss_index/
 ├── index.faiss      ←  binary file containing your vector embeddings
 ├── index.pkl        ←  Python pickle file storing metadata
 └── ingested_meta.json (optional) ← custom JSON file storing extra info

🔍 Example Explanation

When your custom function like _exists() checks this:

return (self.index_dir / "index.faiss").exists() and (self.index_dir / "index.pkl").exists()

It’s simply verifying:

“Hey, do I already have a complete FAISS index saved here?”

If both files exist, it means:

  • The FAISS vector index has already been created.

  • You can load it directly instead of recreating it from scratch.


🧩 How the name is decided

  • The base name "index" is not automatic — it’s just a common convention used in FAISS-related code.

  • You can name it anything you want if you control the saving logic.

Example:

faiss_index.save_local("my_vectors")

will create:

my_vectors/
 ├── index.faiss
 └── index.pkl

Here, even though the folder is named my_vectors,
the files inside are still named index.faiss and index.pkl.

Why?
Because LangChain’s FAISS wrapper internally uses these default filenames.


🧠 Summary Table

Item Type Description Created Automatically?
index.faiss Binary file Stores actual vector embeddings ✅ Yes
index.pkl Pickle file Stores metadata, doc IDs, mappings ✅ Yes
ingested_meta.json JSON file Custom file to track ingested docs ❌ Optional, developer-defined

So, conclusion is correct:

When  create and save a FAISS index to disk,
it creates a file named index.faiss (along with index.pkl) inside your index_dir.