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README.md

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-# PaperChat
-
-This repo is an implementation of a chatbot specifically focused on question answering over the [LangChain documentation](https://langchain.readthedocs.io/en/latest/).
-
-## 🚀 Important Links
-
-Website: [chat.langchain.dev](https://chat.langchain.dev)
-
-Hugging Face Spage: [huggingface.co/spaces/hwchase17/chat-langchain](https://huggingface.co/spaces/hwchase17/chat-langchain)
-
-Blog Post: [blog.langchain.dev/langchain-chat/](https://blog.langchain.dev/langchain-chat/)
-
-## 📚 Technical description
-
-There are two components: ingestion and question-answering.
-
-Ingestion has the following steps:
-
-1. Pull html from documentation site
-2. Parse html with BeautifulSoup
-3. Split documents with LangChain's [TextSplitter](https://langchain.readthedocs.io/en/latest/modules/utils/combine_docs_examples/textsplitter.html)
-4. Create a vectorstore of embeddings, using LangChain's [vectorstore wrapper](https://langchain.readthedocs.io/en/latest/modules/utils/combine_docs_examples/vectorstores.html) (with OpenAI's embeddings and Weaviate's vectorstore)
-
-Question-Answering has the following steps:
-
-1. Given the chat history and new user input, determine what a standalone question would be (using GPT-3)
-2. Given that standalone question, look up relevant documents from the vectorstore
-3. Pass the standalone question and relevant documents to GPT-3 to generate a final answer
-
-## 🧠 How to Extend to your documentation
-
-Coming soon.
+# paperchat