{ "cells": [ { "cell_type": "markdown", "id": "9fc6205b", "metadata": {}, "source": [ "# Metal\n", "\n", ">[Metal](https://github.com/getmetal/metal-python) is a managed service for ML Embeddings.\n", "\n", "This notebook shows how to use [Metal's](https://docs.getmetal.io/introduction) retriever.\n", "\n", "First, you will need to sign up for Metal and get an API key. You can do so [here](https://docs.getmetal.io/misc-create-app)" ] }, { "cell_type": "code", "execution_count": 1, "id": "1a737220", "metadata": {}, "outputs": [], "source": [ "# !pip install metal_sdk" ] }, { "cell_type": "code", "execution_count": 3, "id": "b1bb478f", "metadata": {}, "outputs": [], "source": [ "from metal_sdk.metal import Metal\n", "\n", "API_KEY = \"\"\n", "CLIENT_ID = \"\"\n", "INDEX_ID = \"\"\n", "\n", "metal = Metal(API_KEY, CLIENT_ID, INDEX_ID);" ] }, { "cell_type": "markdown", "id": "ae3c3d16", "metadata": {}, "source": [ "## Ingest Documents\n", "\n", "You only need to do this if you haven't already set up an index" ] }, { "cell_type": "code", "execution_count": 8, "id": "f0425fa0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'data': {'id': '642739aa7559b026b4430e42',\n", " 'text': 'foo',\n", " 'createdAt': '2023-03-31T19:51:06.748Z'}}" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metal.index({\"text\": \"foo1\"})\n", "metal.index({\"text\": \"foo\"})" ] }, { "cell_type": "markdown", "id": "944e172b", "metadata": {}, "source": [ "## Query\n", "\n", "Now that our index is set up, we can set up a retriever and start querying it." ] }, { "cell_type": "code", "execution_count": 9, "id": "d0e6f506", "metadata": {}, "outputs": [], "source": [ "from langchain.retrievers import MetalRetriever" ] }, { "cell_type": "code", "execution_count": 10, "id": "f381f642", "metadata": {}, "outputs": [], "source": [ "retriever = MetalRetriever(metal, params={\"limit\": 2})" ] }, { "cell_type": "code", "execution_count": 11, "id": "20ae1a74", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[Document(page_content='foo1', metadata={'dist': '1.19209289551e-07', 'id': '642739a17559b026b4430e40', 'createdAt': '2023-03-31T19:50:57.853Z'}),\n", " Document(page_content='foo1', metadata={'dist': '4.05311584473e-06', 'id': '642738f67559b026b4430e3c', 'createdAt': '2023-03-31T19:48:06.769Z'})]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "retriever.get_relevant_documents(\"foo1\")" ] }, { "cell_type": "code", "execution_count": null, "id": "1d5a5088", "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": "3.10.6" } }, "nbformat": 4, "nbformat_minor": 5 }