FAISS
The FAISS component providese access to the Facebook AI Similarity Search (FAISS) library through an instance of FAISS vector store.
For more information, see the following:
1. Hidden parameters
2. Search results output
3. Vector store instances
4. FAISS documentation
FAISS parameters
| Name | Type | Description |
|---|---|---|
| index_name | String | Input parameter. The name of the FAISS index. Default: "Robility flow_index". |
| persist_directory | String | Input parameter. Path to save the FAISS index. It is relative to where Robility flow is running. |
| search_query | String | Input parameter. The query to search for in the vector store. |
| ingest_data | Data | Input parameter. The list of data to ingest into the vector store. |
| allow_dangerous_deserialization | Boolean | Input parameter. Set to True to allow loading pickle files from untrusted sources. Default: True. |
| embedding | Embeddings | Input parameter. The embedding function to use for the vector store. |
| number_of_results | Integer | Input parameter. Number of results to return from the search. Default: 4. |
