ontoaligner tutorial

README.md

@@ -18,6 +18,7 @@
 
 **OntoAligner** is a Python library designed to simplify ontology alignment and matching for researchers, practitioners, and developers. With a modular architecture and robust features, OntoAligner provides powerful tools to bridge ontologies effectively.
 
+📘 **Explore the OntoAligner tutorial [here](tutorial/README.md).**
 
 ## 🧪 Installation
 

docs/source/aligner/llm.rst

@@ -23,6 +23,12 @@ This module guides you through a step-by-step process for performing ontology al
 
         # post-processing imports
         from ontoaligner.postprocess import TFIDFLabelMapper, llm_postprocessor
+
+        # for batching the datasets
+        from torch.utils.data import DataLoader
+
+        # to see the progress
+        from tqdm import tqdm
     ::
 
 .. tab:: ➡️ 2: Parse and Encode
@@ -282,7 +288,7 @@ To use decoder based aligner based technique:
 
 .. code-block:: python
 
-       from ontoaligner.aligner import FlanT5LEncoderDecoderLM
+       from ontoaligner.aligner import AutoModelDecoderLLM
 
         model = AutoModelDecoderLLM()
         model.load(path="...")

docs/source/aligner/rag.rst

@@ -64,9 +64,8 @@ This guide walks you through the process of ontology matching using the OntoAlig
     encoded_ontology = encoder_model(source=dataset['source'], target=dataset['target'])
 
     #Step 4. Configure the Retriever and LLM
-    config = {
-        "retriever_config": {"device": 'cuda', "top_k": 5, "threshold": 0.1},
-        "llm_config": {
+    retriever_config = {"device": 'cuda', "top_k": 5, "threshold": 0.1}
+    llm_config = {
             "device": "cuda", "batch_size": 32,
             "answer_set": {"yes": ["yes", "true"], "no": ["no", "false"]}
         }

docs/source/usecases/ecommerce.rst

@@ -47,7 +47,7 @@ The visualization below illustrates how ontologies and their corresponding align
 
 .. raw:: html
 
-   <iframe src="../_static/amazon-ebay-alignment.html.html"
+   <iframe src="../_static/amazon-ebay-alignment.html"
            width="90%"
            height="900"
            style="border:none;">