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https://github.com/hwchase17/langchain.git
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docs: Add together docs in chat models & update provider docs (#21391)
- Added Together docs in chat models section - Update Together provider docs to match the LLM & chat models sections --------- Co-authored-by: Erick Friis <erick@langchain.dev>
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Hassan El Mghari
GitHub
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docs/docs/integrations/chat/together.ipynb
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119
docs/docs/integrations/chat/together.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "2970dd75-8ebf-4b51-8282-9b454b8f356d",
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"metadata": {},
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"source": [
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"# Together AI\n",
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"\n",
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"[Together AI](https://www.together.ai/) offers an API to query [50+ leading open-source models](https://docs.together.ai/docs/inference-models) in a couple lines of code.\n",
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"\n",
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"This example goes over how to use LangChain to interact with Together AI models."
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]
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},
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{
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"cell_type": "markdown",
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"id": "1c47fc36",
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"metadata": {},
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"source": [
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"## Installation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1ecdb29d",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install --upgrade langchain-together"
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]
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},
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{
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"cell_type": "markdown",
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"id": "89883202",
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"metadata": {},
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"source": [
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"## Environment\n",
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"\n",
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"To use Together AI, you'll need an API key which you can find here:\n",
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"https://api.together.ai/settings/api-keys. This can be passed in as an init param\n",
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"``together_api_key`` or set as environment variable ``TOGETHER_API_KEY``.\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8304b4d9",
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"metadata": {},
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"source": [
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"## Example"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "637bb53f",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Querying chat models with Together AI\n",
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"\n",
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"from langchain_together import ChatTogether\n",
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"\n",
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"# choose from our 50+ models here: https://docs.together.ai/docs/inference-models\n",
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"chat = ChatTogether(\n",
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" # together_api_key=\"YOUR_API_KEY\",\n",
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" model=\"meta-llama/Llama-3-70b-chat-hf\",\n",
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")\n",
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"\n",
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"# stream the response back from the model\n",
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"for m in chat.stream(\"Tell me fun things to do in NYC\"):\n",
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" print(m.content, end=\"\", flush=True)\n",
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"\n",
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"# if you don't want to do streaming, you can use the invoke method\n",
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"# chat.invoke(\"Tell me fun things to do in NYC\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e7b7170d-d7c5-4890-9714-a37238343805",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Querying code and language models with Together AI\n",
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"\n",
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"from langchain_together import Together\n",
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"\n",
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"llm = Together(\n",
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" model=\"codellama/CodeLlama-70b-Python-hf\",\n",
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" # together_api_key=\"...\"\n",
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")\n",
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"\n",
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"print(llm.invoke(\"def bubble_sort(): \"))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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@ -2,89 +2,102 @@
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"cells": [
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{
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"cell_type": "markdown",
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"id": "2970dd75-8ebf-4b51-8282-9b454b8f356d",
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"metadata": {},
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"source": [
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"# Together AI\n",
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"\n",
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"> [Together AI](https://together.ai) is a cloud platform for building and running generative AI.\n",
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"> \n",
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"> It makes it easy to fine-tune or run leading open-source models with a couple lines of code.\n",
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"> We have integrated the world’s leading open-source models, including `Llama-2`, `RedPajama`, `Falcon`, `Alpaca`, `Stable Diffusion XL`, and more. Read mo\n",
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"[Together AI](https://www.together.ai/) offers an API to query [50+ leading open-source models](https://docs.together.ai/docs/inference-models) in a couple lines of code.\n",
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"\n",
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"## Installation and Setup\n",
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"\n",
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"To use, you'll need an API key which you can find [here](https://api.together.xyz/settings/api-keys).\n",
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"\n",
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"API key can be passed in as init param\n",
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"``together_api_key`` or set as environment variable ``TOGETHER_API_KEY``.\n",
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"\n",
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"See details in the [Together API reference](https://docs.together.ai/reference)\n",
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"\n",
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"You will also need to install the `langchain-together` integration package:"
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"This example goes over how to use LangChain to interact with Together AI models."
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]
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},
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{
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"cell_type": "markdown",
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"id": "1c47fc36",
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"metadata": {},
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"source": [
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"## Installation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1ecdb29d",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet langchain-together"
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"%pip install --upgrade langchain-together"
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]
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},
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{
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"cell_type": "markdown",
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"id": "89883202",
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"metadata": {},
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"source": [
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"## LLMs\n",
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"## Environment\n",
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"\n",
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"See a [usage example](/docs/integrations/llms/together)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"id": "y8ku6X96sebl"
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},
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"outputs": [],
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"source": [
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"from langchain_together import Together"
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"To use Together AI, you'll need an API key which you can find here:\n",
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"https://api.together.ai/settings/api-keys. This can be passed in as an init param\n",
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"``together_api_key`` or set as environment variable ``TOGETHER_API_KEY``.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-04-03T18:49:24.701100Z",
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"iopub.status.busy": "2024-04-03T18:49:24.700943Z",
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"iopub.status.idle": "2024-04-03T18:49:24.705570Z",
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"shell.execute_reply": "2024-04-03T18:49:24.704943Z",
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"shell.execute_reply.started": "2024-04-03T18:49:24.701088Z"
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}
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},
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"id": "8304b4d9",
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"metadata": {},
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"source": [
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"## Embedding models\n",
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"\n",
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"See a [usage example](/docs/integrations/text_embedding/together)."
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"## Example"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "637bb53f",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain_together.embeddings import TogetherEmbeddings"
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"# Querying chat models with Together AI\n",
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"\n",
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"from langchain_together import ChatTogether\n",
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"\n",
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"# choose from our 50+ models here: https://docs.together.ai/docs/inference-models\n",
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"chat = ChatTogether(\n",
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" # together_api_key=\"YOUR_API_KEY\",\n",
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" model=\"meta-llama/Llama-3-70b-chat-hf\",\n",
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")\n",
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"\n",
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"# stream the response back from the model\n",
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"for m in chat.stream(\"Tell me fun things to do in NYC\"):\n",
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" print(m.content, end=\"\", flush=True)\n",
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"\n",
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"# if you don't want to do streaming, you can use the invoke method\n",
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"# chat.invoke(\"Tell me fun things to do in NYC\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e7b7170d-d7c5-4890-9714-a37238343805",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Querying code and language models with Together AI\n",
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"\n",
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"from langchain_together import Together\n",
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"\n",
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"llm = Together(\n",
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" model=\"codellama/CodeLlama-70b-Python-hf\",\n",
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" # together_api_key=\"...\"\n",
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")\n",
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"\n",
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"print(llm.invoke(\"def bubble_sort(): \"))"
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]
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}
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],
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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@ -98,9 +111,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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"version": "3.11.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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"nbformat_minor": 5
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}
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