changes_readme

Author: rauni98iitr

readme.md

@@ -1,6 +1,6 @@
 # About
 
-This project runs a local llm agent based RAG model on langchain using new pipesyntax [LCEL](https://python.langchain.com/docs/expression_language/get_started)(LangChain Expression Language) as well as older LLM chains(RetrievalQA), see `rag.py`. <br> We are using LECL in rag.py for inference as it has a smooth output streaming generator output which is consumed by streamlit using 'write_stream' method.
+This project runs a local llm agent based RAG model on langchain using [LCEL](https://python.langchain.com/docs/expression_language/get_started)(LangChain Expression Language) as well as older LLM chains(RetrievalQA), see `rag.py`. <br> We are using LECL in rag.py for inference as it has a smooth output streaming generator output which is consumed by streamlit using 'write_stream' method.
 
 The model uses persistent ChromaDB for vector store, which takes all the pdf files in `data_source` directory (one pdf about titanic for demo).
 
@@ -9,8 +9,8 @@ The UI is built on streamlit, where the output of RAG model is streamed token on
 ![image info](./assets/snap1.png)
 
 ### <u>LCEL - LangChain Expression Language</u>:
-Langchain composes chain of components in linux pip system like:</br>
-`chain = retriever | prompt | llm | Outputparser` </br>
+Langchain composes chain of components in linux pip system like:<br>
+`chain = retriever | prompt | llm | Outputparser` <br>
 See implementation in `rag.py`
 
 ![image info](./assets/lcel_pipe_flow.png)