{ "cells": [ { "cell_type": "markdown", "id": "925794f5-a4a8-4753-86b9-8fe4dac8455e", "metadata": {}, "source": [ "## Ask a Legal Research Assistant Bot about the US Constitution" ] }, { "cell_type": "code", "execution_count": 1, "id": "063dcd9d-b508-499d-a23e-efa892bb628a", "metadata": {}, "outputs": [], "source": [ "from langchain.vectorstores import Chroma\n", "from langchain.chat_models import ChatOpenAI\n", "from langchain.document_loaders import TextLoader\n", "from langchain.embeddings.openai import OpenAIEmbeddings\n", "from langchain.text_splitter import CharacterTextSplitter\n", "from langchain.retrievers import ContextualCompressionRetriever\n", "from langchain.retrievers.document_compressors import LLMChainExtractor" ] }, { "cell_type": "code", "execution_count": 2, "id": "77afad7d-9c48-44f8-878e-46fc10f4c804", "metadata": {}, "outputs": [], "source": [ "def us_constitution_helper(question):\n", " \"\"\"\n", " Takes in a question about the US Constitution and returns the most relevant\n", " part of the constitution. Notice it may not directly answer the actual question!\n", " \"\"\"\n", "\n", " loader = TextLoader(\"US_Constitution.txt\")\n", " documents = loader.load()\n", "\n", " text_splitter = CharacterTextSplitter.from_tiktoken_encoder(chunk_size=500)\n", " docs = text_splitter.split_documents(documents)\n", "\n", " embedding_function = OpenAIEmbeddings()\n", " db = Chroma.from_documents(docs, embedding_function, persist_directory=\"./constitution\")\n", " db.persist()\n", "\n", " llm = ChatOpenAI(temperature=0)\n", " compressor = LLMChainExtractor.from_llm(llm)\n", " compression_retriever = ContextualCompressionRetriever(base_compressor=compressor,\n", " base_retriever=db.as_retriever())\n", "\n", " compressed_docs = compression_retriever.get_relevant_documents(question)\n", "\n", " return compressed_docs[0].page_content" ] }, { "cell_type": "code", "execution_count": 3, "id": "072ef3e4-49d5-48c7-9882-57100401ba35", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/yudhvir/Documents/miniconda3/envs/nlp/lib/python3.11/site-packages/langchain/chains/llm.py:275: UserWarning: The predict_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n", " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Fifth Amendment\n", "No person shall be held to answer for a capital, or otherwise infamous crime, unless on a presentment or indictment of a Grand Jury, except in cases arising in the land or naval forces, or in the Militia, when in actual service in time of War or public danger; nor shall any person be subject for the same offence to be twice put in jeopardy of life or limb; nor shall be compelled in any criminal case to be a witness against himself, nor be deprived of life, liberty, or property, without due process of law; nor shall private property be taken for public use, without just compensation.\n" ] } ], "source": [ "print(us_constitution_helper(\"What is the 5th Amendment?\"))" ] }, { "cell_type": "code", "execution_count": 4, "id": "e051813e-3329-4880-ae1f-7500cb6d3bb8", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/yudhvir/Documents/miniconda3/envs/nlp/lib/python3.11/site-packages/langchain/chains/llm.py:275: UserWarning: The predict_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n", " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "The powers not delegated to the United States by the Constitution, nor prohibited by it to the States, are reserved to the States respectively, or to the people.\n" ] } ], "source": [ "print(us_constitution_helper(\"What is the 10th Amendment?\"))" ] }, { "cell_type": "code", "execution_count": null, "id": "df35b64a-6323-44a6-a076-29f7a3cbdb18", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.4" } }, "nbformat": 4, "nbformat_minor": 5 }