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+---
+title: 'Usage'
+description: 'Use AItrika'
+icon: 'code'
+---
+
+## 🔍 Usage
+
+You can easily get informations of a paper by passing a PubMed ID:
+
+```python
+from aitrika.engine.aitrika import OnlineAItrika
+aitrika_engine = OnlineAItrika(pubmed_id=pubmed_id)
+title = aitrika_engine.get_title()
+print(title)
+```
+
+Or you can parse a local pdf:
+
+```python
+from aitrika.engine.aitrika import LocalAItrika
+aitrika_engine = LocalAItrika(pdf_path = pdf_path)
+title = aitrika_engine.get_title()
+print(title)
+```
+
+```
+Breast cancer genes: beyond BRCA1 and BRCA2.
+```
+
+You can get other informations, like the associations between genes and diseases:
+
+```python
+associations = aitrika_engine.get_associations()
+```
+
+```
+[
+  {
+    "gene": "BRIP1",
+    "disease": "Breast Neoplasms"
+  },
+  {
+    "gene": "PTEN",
+    "disease": "Breast Neoplasms"
+  },
+  {
+    "gene": "CHEK2",
+    "disease": "Breast Neoplasms"
+  },
+]
+...
+```
+
+Or you can get a nice formatted DataFrame:
+
+```python
+associations = aitrika_engine.associations(dataframe = True)
+```
+
+```
+      gene                          disease
+0    BRIP1                 Breast Neoplasms
+1     PTEN                 Breast Neoplasms
+2    CHEK2                 Breast Neoplasms
+...
+```
+
+With the power of RAG, you can query your document:
+
+```python
+## Prepare the documents
+documents = generate_documents(content=abstract)
+
+## Set the LLM
+llm = GroqLLM(documents=documents, api_key=os.getenv("GROQ_API_KEY"))
+
+## Query your document
+query = "Is BRCA1 associated with breast cancer?"
+print(llm.query(query=query))
+```
+
+```
+The provided text suggests that BRCA1 is associated with breast cancer, as it is listed among the high-penetrance genes identified in family linkage studies as responsible for inherited syndromes of breast cancer.
+```
+
+Or you can extract other informations:
+
+```python
+results = engine.extract_results(llm=llm)
+print(results)
+```
+
+```
+** RESULTS **
+
+- High-penetrance genes - BRCA1, BRCA2, PTEN, TP53 - responsible for inherited syndromes
+- Moderate-penetrance genes - CHEK2, ATM, BRIP1, PALB2, RAD51C - associated with moderate BC risk
+- Low-penetrance alleles - common alleles - associated with slightly increased or decreased risk of BC
+- Current clinical practice - high-penetrance genes - widely used
+- Future prospect - all familial breast cancer genes - to be included in genetic test
+- Research need - clinical management - of moderate and low-risk variants
+```
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