Update notes.md

notes.md

@@ -1,23 +1,13 @@
 
 
 
-Templates for app from:
-https://huggingface.co/spaces/anzorq/chatgpt-demo
-https://blog.devgenius.io/chat-with-document-s-using-openai-chatgpt-api-and-text-embedding-6a0ce3dc8bc8
-https://github.com/hwchase17/chat-langchain-notion/blob/master/ingest_data.py
+# Templates for App: 
+https://huggingface.co/spaces/anzorq/chatgpt-demo  
+https://blog.devgenius.io/chat-with-document-s-using-openai-chatgpt-api-and-text-embedding-6a0ce3dc8bc8  
+https://github.com/hwchase17/chat-langchain-notion/blob/master/ingest_data.py  
 
+# On Using LangChain:
+https://www.youtube.com/watch?v=2xxziIWmaSA&list=PLqZXAkvF1bPNQER9mLmDbntNfSpzdDIU5&index=3  
+https://github.com/gkamradt/langchain-tutorials/blob/main/LangChain%20Cookbook.ipynb  
 
-IDEAS:
 
-with open("foo.pkl", 'rb') as f:
-    new_docsearch = pickle.load(f)
-
-docsearch = FAISS.from_texts(texts, new_docsearch)
-query = "I am student and I want to know what statistical tests were used in the study, which results were statistically significant, and how could I use this when teaching biology"
-docs = docsearch.similarity_search(query)
-#print(docs[0].page_content)
-from langchain.chains.question_answering import load_qa_chain
-from langchain.llms import OpenAI
-chain = load_qa_chain(OpenAI(temperature=1.2), chain_type="stuff")
-resp = chain.run(input_documents=docs, question=query)
-print(resp)