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Show ingestion logs in readme

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Iván Martínez 2023-05-20 12:15:13 +02:00
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@ -56,6 +56,19 @@ Run the following command to ingest all the data.
python ingest.py python ingest.py
``` ```
Output should look like this:
```shell
Creating new vectorstore
Loading documents from source_documents
Loading new documents: 100%|██████████████████████| 1/1 [00:01<00:00, 1.73s/it]
Loaded 1 new documents from source_documents
Split into 90 chunks of text (max. 500 tokens each)
Creating embeddings. May take some minutes...
Using embedded DuckDB with persistence: data will be stored in: db
Ingestion complete! You can now run privateGPT.py to query your documents
```
It will create a `db` folder containing the local vectorstore. Will take 20-30 seconds per document, depending on the size of the document. It will create a `db` folder containing the local vectorstore. Will take 20-30 seconds per document, depending on the size of the document.
You can ingest as many documents as you want, and all will be accumulated in the local embeddings database. You can ingest as many documents as you want, and all will be accumulated in the local embeddings database.
If you want to start from an empty database, delete the `db` folder. If you want to start from an empty database, delete the `db` folder.