End-to-end LLM project for beginners and intermediate users using langchain. In this LLM project, we will use langchain, openai API, and streamlit to build a news research tool that can be used by equity research analysts to conduct their research. This end-to-end NLP project will give you a good experience in building a real-life field project that will add a lot of value to your data scientist or NLP engineer project investment mix.
Code: https://github.com/codebasics/langchain/tree/main/2_news_research_tool_project
Langchain playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F
Timestamps:
00:00 Introduction
01:20 Problem statement, tech architecture
13:45 Loaders (TextLoader, UnstructuredURLLoader)
21:31 Text Splitters (CharacterTextSplitter, RecursiveCharacterTextSplitter)
33:30 FAISS Index and Vector database
44:52 Retrieval (RetrievalQAWithSourcesChain)
56:49 Streamlit UI and Project Coding
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