id stringlengths 14 16 | text stringlengths 45 2.05k | source stringlengths 53 111 |
|---|---|---|
e2ed6b9e33d4-1 | data = loader.load()
data
[Document(page_content="# Banana Teardown\nIn this teardown, we open a banana to see what's inside. Yellow and delicious, but most importantly, yellow.\n\n\n###Tools Required:\n\n - Fingers\n\n - Teeth\n\n - Thumbs\n\n\n###Parts Required:\n\n - None\n\n\n## Step 1\nTake one banana from the bu... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-2 | [Document(page_content='# My iPhone 6 is typing and opening apps by itself\nmy iphone 6 is typing and opening apps by itself. How do i fix this. I just bought it last week.\nI restored as manufactures cleaned up the screen\nthe problem continues\n\n## 27 Answers\n\nFilter by: \n\nMost Helpful\nNewest\nOldest\n\n### Acc... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-3 | same issues, screen freezing, opening apps by itself, selecting the screens and typing on it\'s own. I first suspected aliens and then ghosts and then hackers.\niPhone 6 is weak physically and tend to bend on pressure. And my phone had no case or cover.\nI took the phone to apple stores and they said sensors need to be... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-4 | to iTunes and reset your phone completely. (please take a back-up first).\nAnd your phone should be good to use again.\nWhat really happened here for me is that the sensors might have stuck to the screen and with mild twisting, they got disengaged/released.\nI posted this in Apple Community and the moderators deleted i... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-5 | to local area iphone repairing lab, and they detected that it is an LCD issue. LCD get out of order without any reason (It was neither hit or nor slipped, but LCD get out of order all and sudden, while using it) it started opening things at random. I get LCD replaced with new one, that cost me $80.00 in total ($70.00 ... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-6 | took it off I noticed that there was a lot of dust and dirt around the areas that the case didn\'t cover. I shined a light in my ports and noticed they were filled with dust. Tomorrow I plan on using pressurized air to clean it out and the problem should be solved. If you plug in your phone and unplug it and it stops ... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-7 | I have my original charger. I am going to clean it and try everyone’s advice. It really sucks! I had 40,000,000 on my heart of Vegas slots! I play every day. I would be spinning and my fingers were no where max buttons and it would light up and switch to max. It did it 3 times before I caught it light up by its s... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-8 | that it\'s most likely a hardware problem--which the "genius" probably knows too.\nI\'m getting ready to go Android.\n\n\n\n### Other Answer\nI experienced similar ghost touches. Two weeks ago, I changed my iPhone 6 Plus shell (I had forced the phone into it because it’s pretty tight), and also put a new glass screen ... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-9 | solved.\n\n\n\n### Other Answer\nthank you so much for this post! i was struggling doing the reset because i cannot type userids and passwords correctly because the iphone 6 plus i have kept on typing letters incorrectly. I have been doing it for a day until i come across this article. Very helpful! God bless you!!\n\n... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-10 | up and fix your phone for free! You pay a lot for a Apple they should back it. I did the next 30 month payments and finally have it paid off in June. My iPad sept. Looking forward to a almost 100 drop in my phone bill! Now this crap!!! Really\n\n\n\n### Other Answer\nIf your phone is JailBroken, suggest downloadin... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-11 | below. I took it off and it stopped. I ordered more protectors from amazon and replaced it\n\n\n\n### Other Answer\niPhone 6 Plus first generation….I had the same issues as all above, apps opening by themselves, self typing, ultra sensitive screen, items jumping around all over….it even called someone on FaceTime twice... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-12 | laptop that was plugged in to the same wall plug as my phone charger with the dollar store block plug….until I changed the block plug.\n\n\n\n### Other Answer\nHad the problem: Inherited a 6s Plus from my wife. She had no problem with it.\nLooks like it was merely the cheap phone case I purchased on Amazon. It was eith... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-13 | come back to needing the original iPhone cable…or at least another 1 that would have come with another iPhone…not the $5 Store fast charging cables. My original cable is pretty beat up - like most that I see - but I’ve been beaten up much MUCH less by sticking with its use! I didn’t find that the casing/shell around ... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-14 | way to get rid of my password and all of a sudden my phone wants to touch stuff on its own which got my phone disabled many times to the point where I have to wait a whole hour and I really need to finish something on my phone today PLEASE HELPPPP\n\n\n\n### Other Answer\nIn my case , iphone 6 screen was faulty. I got ... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-15 | in LCD connector on the motherboard, specially if you lock/unlock screen and screen works again for sometime. lcd connectors gets disconnected lightly from the motherboard due to multiple falls and hits after sometime. best of luck for all\n\n\n\n### Other Answer\nI am facing the same issue whereby these ghost touches ... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-16 | all my images and videos to my PC and restarted the phone - problem solved. Been working now for two days.', lookup_str='', metadata={'source': 'https://www.ifixit.com/Answers/View/318583/My+iPhone+6+is+typing+and+opening+apps+by+itself', 'title': 'My iPhone 6 is typing and opening apps by itself'}, lookup_index=0)] | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-17 | loader = IFixitLoader("https://www.ifixit.com/Device/Standard_iPad")
data = loader.load()
data
[Document(page_content="Standard iPad\nThe standard edition of the tablet computer made by Apple.\n== Background Information ==\n\nOriginally introduced in January 2010, the iPad is Apple's standard edition of their tablet co... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-18 | data = IFixitLoader.load_suggestions("Banana")
data
[Document(page_content='Banana\nTasty fruit. Good source of potassium. Yellow.\n== Background Information ==\n\nCommonly misspelled, this wildly popular, phone shaped fruit serves as nutrition and an obstacle to slow down vehicles racing close behind you. Also used co... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
e2ed6b9e33d4-19 | Document(page_content="# Banana Teardown\nIn this teardown, we open a banana to see what's inside. Yellow and delicious, but most importantly, yellow.\n\n\n###Tools Required:\n\n - Fingers\n\n - Teeth\n\n - Thumbs\n\n\n###Parts Required:\n\n - None\n\n\n## Step 1\nTake one banana from the bunch.\nDon't squeeze too har... | https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/ifixit.html |
409c08f6eb27-0 | .ipynb
.pdf
Async API for LLM
Async API for LLM#
LangChain provides async support for LLMs by leveraging the asyncio library.
Async support is particularly useful for calling multiple LLMs concurrently, as these calls are network-bound. Currently, only OpenAI and PromptLayerOpenAI are supported, but async support for o... | https://langchain.readthedocs.io/en/latest/modules/llms/async_llm.html |
409c08f6eb27-1 | I'm doing well, thank you. How about you?
I'm doing well, thank you. How about you?
I'm doing well, how about you?
I'm doing well, thank you. How about you?
I'm doing well, thank you. How about you?
I'm doing well, thank you. How about yourself?
I'm doing well, thank you! How about you?
I'm doing well, thank you. How a... | https://langchain.readthedocs.io/en/latest/modules/llms/async_llm.html |
8885a2a093f2-0 | .md
.pdf
Key Concepts
Contents
LLMs
Generation
LLMResult
Key Concepts#
LLMs#
Wrappers around Large Language Models (in particular, the “generate” ability of large language models) are at the core of LangChain functionality.
The core method that these classes expose is a generate method, which takes in a list of strin... | https://langchain.readthedocs.io/en/latest/modules/llms/key_concepts.html |
c0399b4503ef-0 | .rst
.pdf
How-To Guides
How-To Guides#
The examples here all address certain “how-to” guides for working with LLMs.
They are split into two categories:
Generic Functionality: Covering generic functionality all LLMs should have.
Integrations: Covering integrations with various LLM providers.
Asynchronous: Covering async... | https://langchain.readthedocs.io/en/latest/modules/llms/how_to_guides.html |
35eede938cb9-0 | .ipynb
.pdf
Getting Started
Getting Started#
This notebook goes over how to use the LLM class in LangChain.
The LLM class is a class designed for interfacing with LLMs. There are lots of LLM providers (OpenAI, Cohere, Hugging Face, etc) - this class is designed to provide a standard interface for all of them. In this p... | https://langchain.readthedocs.io/en/latest/modules/llms/getting_started.html |
35eede938cb9-1 | llm_result.generations[-1]
[Generation(text="\n\nWhat if love neverspeech\n\nWhat if love never ended\n\nWhat if love was only a feeling\n\nI'll never know this love\n\nIt's not a feeling\n\nBut it's what we have for each other\n\nWe just know that love is something strong\n\nAnd we can't help but be happy\n\nWe just f... | https://langchain.readthedocs.io/en/latest/modules/llms/getting_started.html |
8b1357755a01-0 | .rst
.pdf
Generic Functionality
Generic Functionality#
The examples here all address certain “how-to” guides for working with LLMs.
LLM Serialization: A walkthrough of how to serialize LLMs to and from disk.
LLM Caching: Covers different types of caches, and how to use a cache to save results of LLM calls.
Custom LLM: ... | https://langchain.readthedocs.io/en/latest/modules/llms/generic_how_to.html |
14e91458cced-0 | .ipynb
.pdf
Streaming with LLMs
Streaming with LLMs#
LangChain provides streaming support for LLMs. Currently, we only support streaming for the OpenAI and ChatOpenAI LLM implementation, but streaming support for other LLM implementations is on the roadmap. To utilize streaming, use a CallbackHandler that implements on... | https://langchain.readthedocs.io/en/latest/modules/llms/streaming_llm.html |
14e91458cced-1 | On a hot summer night.
Chorus
Sparkling water, sparkling water,
It's the best way to stay hydrated,
It's so crisp and so clean,
It's the perfect way to stay refreshed.
We still have access to the end LLMResult if using generate. However, token_usage is not currently supported for streaming.
llm.generate(["Tell me a jok... | https://langchain.readthedocs.io/en/latest/modules/llms/streaming_llm.html |
14e91458cced-2 | Sparkling water, you're the key
To a healthy life, a happy soul
A drink that makes me feel whole
Chorus:
Sparkling water, oh so fine
A drink that's always on my mind
With every sip, I feel alive
Sparkling water, you're my vibe
Outro:
Sparkling water, you're the one
A drink that's always so much fun
I'll never let you g... | https://langchain.readthedocs.io/en/latest/modules/llms/streaming_llm.html |
aaff3357a0db-0 | .rst
.pdf
Integrations
Integrations#
The examples here are all “how-to” guides for how to integrate with various LLM providers.
OpenAI: Covers how to connect to OpenAI models.
Cohere: Covers how to connect to Cohere models.
AI21: Covers how to connect to AI21 models.
Huggingface Hub: Covers how to connect to LLMs hoste... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations.html |
8d7573659681-0 | .ipynb
.pdf
Hugging Face Hub
Hugging Face Hub#
This example showcases how to connect to the Hugging Face Hub.
from langchain import PromptTemplate, HuggingFaceHub, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["question"])
ll... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/huggingface_hub.html |
4f71c02f7769-0 | .ipynb
.pdf
Writer
Writer#
This example goes over how to use LangChain to interact with Writer models
from langchain.llms import Writer
from langchain import PromptTemplate, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["ques... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/writer.html |
6b4bb94fe35e-0 | .ipynb
.pdf
Manifest
Contents
Compare HF Models
Manifest#
This notebook goes over how to use Manifest and LangChain.
For more detailed information on manifest, and how to use it with local hugginface models like in this example, see https://github.com/HazyResearch/manifest
from manifest import Manifest
from langchain... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/manifest.html |
6b4bb94fe35e-1 | state_of_the_union = f.read()
mp_chain.run(state_of_the_union)
'President Obama delivered his annual State of the Union address on Tuesday night, laying out his priorities for the coming year. Obama said the government will provide free flu vaccines to all Americans, ending the government shutdown and allowing business... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/manifest.html |
6b4bb94fe35e-2 | )
manifest3 = ManifestWrapper(
client=Manifest(
client_name="huggingface",
client_connection="http://127.0.0.1:5002"
),
llm_kwargs={"temperature": 0.01}
)
llms = [manifest1, manifest2, manifest3]
model_lab = ModelLaboratory(llms)
model_lab.compare("What color is a flamingo?")
Input:
What col... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/manifest.html |
a9a71ee2d736-0 | .ipynb
.pdf
ForefrontAI LLM Example
Contents
Imports
Set the Environment API Key
Create the ForefrontAI instance
Create a Prompt Template
Initiate the LLMChain
Run the LLMChain
ForefrontAI LLM Example#
This notebook goes over how to use Langchain with ForefrontAI.
Imports#
import os
from langchain.llms import Forefro... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/forefrontai_example.html |
a9a71ee2d736-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Mar 22, 2023. | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/forefrontai_example.html |
b09503d79905-0 | .ipynb
.pdf
GooseAI LLM Example
Contents
Install openai
Imports
Set the Environment API Key
Create the GooseAI instance
Create a Prompt Template
Initiate the LLMChain
Run the LLMChain
GooseAI LLM Example#
This notebook goes over how to use Langchain with GooseAI.
Install openai#
The openai package is required to use ... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/gooseai_example.html |
b09503d79905-1 | Initiate the LLMChain
Run the LLMChain
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Mar 22, 2023. | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/gooseai_example.html |
1c881bd9463b-0 | .ipynb
.pdf
StochasticAI
StochasticAI#
This example goes over how to use LangChain to interact with StochasticAI models
from langchain.llms import StochasticAI
from langchain import PromptTemplate, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/stochasticai.html |
e29cda58bb51-0 | .ipynb
.pdf
Cohere
Cohere#
This example goes over how to use LangChain to interact with Cohere models
from langchain.llms import Cohere
from langchain import PromptTemplate, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["ques... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/cohere.html |
e29cda58bb51-1 | llm_chain.run(question)
" Let's start with the year that Justin Beiber was born. You know that he was born in 1994. We have to go back one year. 1993.\n\n1993 was the year that the Dallas Cowboys won the Super Bowl. They won over the Buffalo Bills in Super Bowl 26.\n\nNow, let's do it backwards. According to our inform... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/cohere.html |
c4de5e51a139-0 | .ipynb
.pdf
Aleph Alpha
Aleph Alpha#
This example goes over how to use LangChain to interact with Aleph Alpha models
from langchain.llms import AlephAlpha
from langchain import PromptTemplate, LLMChain
template = """Q: {question}
A:"""
prompt = PromptTemplate(template=template, input_variables=["question"])
llm = Aleph... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/aleph_alpha.html |
28849d9aff7d-0 | .ipynb
.pdf
Self-Hosted Models via Runhouse
Self-Hosted Models via Runhouse#
This example goes over how to use LangChain and Runhouse to interact with models hosted on your own GPU, or on-demand GPUs on AWS, GCP, AWS, or Lambda.
For more information, see Runhouse or the Runhouse docs.
from langchain.llms import SelfHos... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/self_hosted_examples.html |
28849d9aff7d-1 | INFO | 2023-02-17 05:42:24,016 | Time to send message: 0.48 seconds
"\n\nLet's say we're talking sports teams who won the Super Bowl in the year Justin Beiber"
You can also load more custom models through the SelfHostedHuggingFaceLLM interface:
llm = SelfHostedHuggingFaceLLM(
model_id="google/flan-t5-small",
ta... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/self_hosted_examples.html |
28849d9aff7d-2 | INFO | 2023-02-17 05:42:59,522 | Time to send message: 0.3 seconds
'john w. bush'
You can send your pipeline directly over the wire to your model, but this will only work for small models (<2 Gb), and will be pretty slow:
pipeline = load_pipeline()
llm = SelfHostedPipeline.from_pipeline(
pipeline=pipeline, hardware... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/self_hosted_examples.html |
8e02ba5e179c-0 | .ipynb
.pdf
AI21
AI21#
This example goes over how to use LangChain to interact with AI21 models
from langchain.llms import AI21
from langchain import PromptTemplate, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["question"])
... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/ai21.html |
00c219e7fcb3-0 | .ipynb
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SageMakerEndpoint
SageMakerEndpoint#
This notebooks goes over how to use an LLM hosted on a SageMaker endpoint.
!pip3 install langchain boto3
from langchain.docstore.document import Document
example_doc_1 = """
Peter and Elizabeth took a taxi to attend the night party in the city. While in the party, Elizab... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/sagemaker.html |
00c219e7fcb3-1 | return response_json[0]["generated_text"]
content_handler = ContentHandler()
chain = load_qa_chain(
llm=SagemakerEndpoint(
endpoint_name="endpoint-name",
credentials_profile_name="credentials-profile-name",
region_name="us-west-2",
model_kwargs={"temperature":1e-10},
conte... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/sagemaker.html |
f642e909fab8-0 | .ipynb
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Modal
Modal#
This example goes over how to use LangChain to interact with Modal models
from langchain.llms import Modal
from langchain import PromptTemplate, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["question... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/modal.html |
3990c2fde161-0 | .ipynb
.pdf
PromptLayer OpenAI
Contents
Install PromptLayer
Imports
Set the Environment API Key
Use the PromptLayerOpenAI LLM like normal
Using PromptLayer Track
PromptLayer OpenAI#
This example showcases how to connect to PromptLayer to start recording your OpenAI requests.
Install PromptLayer#
The promptlayer packa... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/promptlayer_openai.html |
3990c2fde161-1 | llm_results = llm.generate(["Tell me a joke"])
for res in llm_results.generations:
pl_request_id = res[0].generation_info["pl_request_id"]
promptlayer.track.score(request_id=pl_request_id, score=100)
Using this allows you to track the performance of your model in the PromptLayer dashboard. If you are using a pr... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/promptlayer_openai.html |
492bde049bb2-0 | .ipynb
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DeepInfra LLM Example
Contents
Imports
Set the Environment API Key
Create the DeepInfra instance
Create a Prompt Template
Initiate the LLMChain
Run the LLMChain
DeepInfra LLM Example#
This notebook goes over how to use Langchain with DeepInfra.
Imports#
import os
from langchain.llms import DeepInfra
from ... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/deepinfra_example.html |
492bde049bb2-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Mar 22, 2023. | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/deepinfra_example.html |
475b4f4c6e03-0 | .ipynb
.pdf
Banana
Banana#
This example goes over how to use LangChain to interact with Banana models
import os
from langchain.llms import Banana
from langchain import PromptTemplate, LLMChain
os.environ["BANANA_API_KEY"] = "YOUR_API_KEY"
template = """Question: {question}
Answer: Let's think step by step."""
prompt = ... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/banana.html |
4d3979d3d030-0 | .ipynb
.pdf
Anthropic
Anthropic#
This example goes over how to use LangChain to interact with Anthropic models
from langchain.llms import Anthropic
from langchain import PromptTemplate, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_vari... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/anthropic_example.html |
dd6609294558-0 | .ipynb
.pdf
OpenAI
OpenAI#
This example goes over how to use LangChain to interact with OpenAI models
from langchain.llms import OpenAI
from langchain import PromptTemplate, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["ques... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/openai.html |
206516565635-0 | .ipynb
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CerebriumAI LLM Example
Contents
Install cerebrium
Imports
Set the Environment API Key
Create the CerebriumAI instance
Create a Prompt Template
Initiate the LLMChain
Run the LLMChain
CerebriumAI LLM Example#
This notebook goes over how to use Langchain with CerebriumAI.
Install cerebrium#
The cerebrium pa... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/cerebriumai_example.html |
206516565635-1 | llm_chain.run(question)
previous
Banana
next
Cohere
Contents
Install cerebrium
Imports
Set the Environment API Key
Create the CerebriumAI instance
Create a Prompt Template
Initiate the LLMChain
Run the LLMChain
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Mar 22, 2023. | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/cerebriumai_example.html |
39e6521d2dfd-0 | .ipynb
.pdf
Petals LLM Example
Contents
Install petals
Imports
Set the Environment API Key
Create the Petals instance
Create a Prompt Template
Initiate the LLMChain
Run the LLMChain
Petals LLM Example#
This notebook goes over how to use Langchain with Petals.
Install petals#
The petals package is required to use the ... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/petals_example.html |
39e6521d2dfd-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Mar 22, 2023. | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/petals_example.html |
fec7d594338c-0 | .ipynb
.pdf
Azure OpenAI LLM Example
Contents
API configuration
Deployments
Azure OpenAI LLM Example#
This notebook goes over how to use Langchain with Azure OpenAI.
The Azure OpenAI API is compatible with OpenAI’s API. The openai Python package makes it easy to use both OpenAI and Azure OpenAI. You can call Azure ... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/azure_openai_example.html |
fec7d594338c-1 | import openai
response = openai.Completion.create(
engine="text-davinci-002-prod",
prompt="This is a test",
max_tokens=5
)
# Import Azure OpenAI
from langchain.llms import AzureOpenAI
# Create an instance of Azure OpenAI
# Replace the deployment name with your own
llm = AzureOpenAI(deployment_name="text-dav... | https://langchain.readthedocs.io/en/latest/modules/llms/integrations/azure_openai_example.html |
bef95c9f9087-0 | .ipynb
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Custom LLM
Custom LLM#
This notebook goes over how to create a custom LLM wrapper, in case you want to use your own LLM or a different wrapper than one that is supported in LangChain.
There is only one required thing that a custom LLM needs to implement:
A _call method that takes in a string, some optional ... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/custom_llm.html |
bef95c9f9087-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Mar 22, 2023. | https://langchain.readthedocs.io/en/latest/modules/llms/examples/custom_llm.html |
8e51f6dc3b6e-0 | .ipynb
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LLM Serialization
Contents
Loading
Saving
LLM Serialization#
This notebook walks through how to write and read an LLM Configuration to and from disk. This is useful if you want to save the configuration for a given LLM (e.g., the provider, the temperature, etc).
from langchain.llms import OpenAI
from lang... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/llm_serialization.html |
8e51f6dc3b6e-1 | llm.save("llm.json")
llm.save("llm.yaml")
previous
LLM Caching
next
Token Usage Tracking
Contents
Loading
Saving
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Mar 22, 2023. | https://langchain.readthedocs.io/en/latest/modules/llms/examples/llm_serialization.html |
853addbcc3f3-0 | .ipynb
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Fake LLM
Fake LLM#
We expose a fake LLM class that can be used for testing. This allows you to mock out calls to the LLM and simulate what would happen if the LLM responded in a certain way.
In this notebook we go over how to use this.
We start this with using the FakeLLM in an agent.
from langchain.llms.fa... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/fake_llm.html |
fb411fc488fc-0 | .ipynb
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LLM Caching
Contents
In Memory Cache
SQLite Cache
Redis Cache
SQLAlchemy Cache
Custom SQLAlchemy Schemas
Optional Caching
Optional Caching in Chains
LLM Caching#
This notebook covers how to cache results of individual LLM calls.
from langchain.llms import OpenAI
In Memory Cache#
import langchain
from lang... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/llm_caching.html |
fb411fc488fc-1 | llm("Tell me a joke")
CPU times: user 17 ms, sys: 9.76 ms, total: 26.7 ms
Wall time: 825 ms
'\n\nWhy did the chicken cross the road?\n\nTo get to the other side.'
%%time
# The second time it is, so it goes faster
llm("Tell me a joke")
CPU times: user 2.46 ms, sys: 1.23 ms, total: 3.7 ms
Wall time: 2.67 ms
'\n\nWhy did ... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/llm_caching.html |
fb411fc488fc-2 | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy_utils import TSVectorType
from langchain.cache import SQLAlchemyCache
Base = declarative_base()
class FulltextLLMCache(Base): # type: ignore
"""Postgres table for fulltext-indexed LLM Cache"""
__tablena... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/llm_caching.html |
fb411fc488fc-3 | %%time
llm("Tell me a joke")
CPU times: user 4.91 ms, sys: 2.64 ms, total: 7.55 ms
Wall time: 623 ms
'\n\nTwo guys stole a calendar. They got six months each.'
Optional Caching in Chains#
You can also turn off caching for particular nodes in chains. Note that because of certain interfaces, its often easier to construct... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/llm_caching.html |
fb411fc488fc-4 | Wall time: 5.09 s
'\n\nPresident Biden is discussing the American Rescue Plan and the Bipartisan Infrastructure Law, which will create jobs and help Americans. He also talks about his vision for America, which includes investing in education and infrastructure. In response to Russian aggression in Ukraine, the United S... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/llm_caching.html |
0828591adb15-0 | .ipynb
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Token Usage Tracking
Token Usage Tracking#
This notebook goes over how to track your token usage for specific calls. It is currently only implemented for the OpenAI API.
Let’s first look at an extremely simple example of tracking token usage for a single LLM call.
from langchain.llms import OpenAI
from lang... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/token_usage_tracking.html |
0828591adb15-1 | Action: Search
Action Input: "Olivia Wilde boyfriend"
Observation: Jason Sudeikis
Thought: I need to find out Jason Sudeikis' age
Action: Search
Action Input: "Jason Sudeikis age"
Observation: 47 years
Thought: I need to calculate 47 raised to the 0.23 power
Action: Calculator
Action Input: 47^0.23
Observation: Answer:... | https://langchain.readthedocs.io/en/latest/modules/llms/examples/token_usage_tracking.html |
df0af113f1b1-0 | .md
.pdf
Key Concepts
Contents
Chains
Sequential Chain
Prompt Selectors
Key Concepts#
Chains#
A chain is made up of links, which can be either primitives or other chains.
They vary greatly in complexity and are combination of generic, highly configurable pipelines and more narrow (but usually more complex) pipelines.... | https://langchain.readthedocs.io/en/latest/modules/chains/key_concepts.html |
d57d64d9234d-0 | .rst
.pdf
How-To Guides
How-To Guides#
A chain is made up of links, which can be either primitives or other chains.
Primitives can be either prompts, llms, utils, or other chains.
The examples here are all end-to-end chains for specific applications.
They are broken up into three categories:
Generic Chains: Generic cha... | https://langchain.readthedocs.io/en/latest/modules/chains/how_to_guides.html |
d197a81a4053-0 | .rst
.pdf
Utility Chains
Utility Chains#
A chain is made up of links, which can be either primitives or other chains.
Primitives can be either prompts, llms, utils, or other chains.
The examples here are all end-to-end chains for specific applications, focused on interacting an LLMChain with a specific utility.
LLMMath... | https://langchain.readthedocs.io/en/latest/modules/chains/utility_how_to.html |
d197a81a4053-1 | Example Notebook
LLMChecker Chain
Links Used: LLMChain
Notes: This chain takes user input (a question), uses an LLM chain to answer that question, and then uses other LLMChains to self-check that answer.
Example Notebook
LLMRequests Chain
Links Used: Requests, LLMChain
Notes: This chain takes a URL and other inputs, us... | https://langchain.readthedocs.io/en/latest/modules/chains/utility_how_to.html |
e6adc41d17b7-0 | .ipynb
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Getting Started
Contents
Why do we need chains?
Query an LLM with the LLMChain
Combine chains with the SequentialChain
Create a custom chain with the Chain class
Getting Started#
In this tutorial, we will learn about creating simple chains in LangChain. We will learn how to create a chain, add components ... | https://langchain.readthedocs.io/en/latest/modules/chains/getting_started.html |
e6adc41d17b7-1 | print(chain.run("colorful socks"))
Rainbow Socks Co.
You can use a chat model in an LLMChain as well:
from langchain.chat_models import ChatOpenAI
from langchain.prompts.chat import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
)
human_message_prompt = HumanMessagePromptTemplate(
prompt=PromptTempla... | https://langchain.readthedocs.io/en/latest/modules/chains/getting_started.html |
e6adc41d17b7-2 | template="Write a catchphrase for the following company: {company_name}",
)
chain_two = LLMChain(llm=llm, prompt=second_prompt)
Now we can combine the two LLMChains, so that we can create a company name and a catchphrase in a single step.
from langchain.chains import SimpleSequentialChain
overall_chain = SimpleSequenti... | https://langchain.readthedocs.io/en/latest/modules/chains/getting_started.html |
e6adc41d17b7-3 | return list(all_input_vars)
@property
def output_keys(self) -> List[str]:
return ['concat_output']
def _call(self, inputs: Dict[str, str]) -> Dict[str, str]:
output_1 = self.chain_1.run(inputs)
output_2 = self.chain_2.run(inputs)
return {'concat_output': output_1 + output_2}
... | https://langchain.readthedocs.io/en/latest/modules/chains/getting_started.html |
3ab2359bfe6c-0 | .rst
.pdf
Generic Chains
Generic Chains#
A chain is made up of links, which can be either primitives or other chains.
Primitives can be either prompts, llms, utils, or other chains.
The examples here are all generic end-to-end chains that are meant to be used to construct other chains rather than serving a specific pur... | https://langchain.readthedocs.io/en/latest/modules/chains/generic_how_to.html |
a931f2a9384c-0 | .ipynb
.pdf
Async API for Chain
Async API for Chain#
LangChain provides async support for Chains by leveraging the asyncio library.
Async methods are currently supported in LLMChain (through arun, apredict, acall) and LLMMathChain (through arun and acall), ChatVectorDBChain, and QA chains. Async support for other chain... | https://langchain.readthedocs.io/en/latest/modules/chains/async_chain.html |
a931f2a9384c-1 | await generate_concurrently()
elapsed = time.perf_counter() - s
print('\033[1m' + f"Concurrent executed in {elapsed:0.2f} seconds." + '\033[0m')
s = time.perf_counter()
generate_serially()
elapsed = time.perf_counter() - s
print('\033[1m' + f"Serial executed in {elapsed:0.2f} seconds." + '\033[0m')
BrightSmile Toothpas... | https://langchain.readthedocs.io/en/latest/modules/chains/async_chain.html |
301170efb649-0 | .ipynb
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LLMRequestsChain
LLMRequestsChain#
Using the request library to get HTML results from a URL and then an LLM to parse results
from langchain.llms import OpenAI
from langchain.chains import LLMRequestsChain, LLMChain
from langchain.prompts import PromptTemplate
template = """Between >>> and <<< are the raw se... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/llm_requests.html |
9892213f8ba4-0 | .ipynb
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LLM Math
Contents
Customize Prompt
LLM Math#
This notebook showcases using LLMs and Python REPLs to do complex word math problems.
from langchain import OpenAI, LLMMathChain
llm = OpenAI(temperature=0)
llm_math = LLMMathChain(llm=llm, verbose=True)
llm_math.run("What is 13 raised to the .3432 power?")
> E... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/llm_math.html |
9892213f8ba4-1 | ${{Output of your code}}
```
Answer: ${{Answer}}
Begin.
Question: What is 37593 * 67?
```python
import numpy as np
print(np.multiply(37593, 67))
```
```output
2518731
```
Answer: 2518731
Question: {question}"""
PROMPT = PromptTemplate(input_variables=["question"], template=_PROMPT_TEMPLATE)
llm_math = LLMMathChain(llm=... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/llm_math.html |
14685603d528-0 | .ipynb
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SQLite example
Contents
Customize Prompt
Return Intermediate Steps
Choosing how to limit the number of rows returned
Adding example rows from each table
Custom Table Info
SQLDatabaseSequentialChain
SQLite example#
This example showcases hooking up an LLM to answer questions over a database.
This uses the ... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-1 | Answer: There are 8 employees.
> Finished chain.
' There are 8 employees.'
Customize Prompt#
You can also customize the prompt that is used. Here is an example prompting it to understand that foobar is the same as the Employee table
from langchain.prompts.prompt import PromptTemplate
_DEFAULT_TEMPLATE = """Given an inp... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-2 | result = db_chain("How many employees are there in the foobar table?")
result["intermediate_steps"]
> Entering new SQLDatabaseChain chain...
How many employees are there in the foobar table?
SQLQuery: SELECT COUNT(*) FROM Employee;
SQLResult: [(8,)]
Answer: There are 8 employees in the foobar table.
> Finished chain.
... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-3 | Answer: Some example tracks by composer Johann Sebastian Bach are 'Concerto for 2 Violins in D Minor, BWV 1043: I. Vivace', 'Aria Mit 30 Veränderungen, BWV 988 "Goldberg Variations": Aria', and 'Suite for Solo Cello No. 1 in G Major, BWV 1007: I. Prélude'.
> Finished chain.
' Some example tracks by composer Johann Seba... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-4 | "MediaTypeId" INTEGER NOT NULL,
"GenreId" INTEGER,
"Composer" NVARCHAR(220),
"Milliseconds" INTEGER NOT NULL,
"Bytes" INTEGER,
"UnitPrice" NUMERIC(10, 2) NOT NULL,
PRIMARY KEY ("TrackId"),
FOREIGN KEY("MediaTypeId") REFERENCES "MediaType" ("MediaTypeId"),
FOREIGN KEY("GenreId") REFERENCES "Genre" ("Genr... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-5 | SQLQuery: SELECT Name FROM Track WHERE Composer LIKE '%Bach%' LIMIT 5;
SQLResult: [('American Woman',), ('Concerto for 2 Violins in D Minor, BWV 1043: I. Vivace',), ('Aria Mit 30 Veränderungen, BWV 988 "Goldberg Variations": Aria',), ('Suite for Solo Cello No. 1 in G Major, BWV 1007: I. Prélude',), ('Toccata and Fugue ... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-6 | Custom Table Info#
In some cases, it can be useful to provide custom table information instead of using the automatically generated table definitions and the first sample_rows_in_table_info sample rows. For example, if you know that the first few rows of a table are uninformative, it could help to manually provide exam... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-7 | PlaylistId Name
1 Music
2 Movies
*/
CREATE TABLE Track (
"TrackId" INTEGER NOT NULL,
"Name" NVARCHAR(200) NOT NULL,
"Composer" NVARCHAR(220),
PRIMARY KEY ("TrackId")
)
/*
3 rows from Track table:
TrackId Name Composer
1 For Those About To Rock (We Salute You) Angus Young, Malcolm Young, Brian Johnson
2 Balls to th... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-8 | Answer: Some example tracks by Bach are 'American Woman', 'Concerto for 2 Violins in D Minor, BWV 1043: I. Vivace', 'Aria Mit 30 Veränderungen, BWV 988 "Goldberg Variations": Aria', 'Suite for Solo Cello No. 1 in G Major, BWV 1007: I. Prélude', and 'Toccata and Fugue in D Minor, BWV 565: I. Toccata'.
> Finished chain.
... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
14685603d528-9 | > Entering new SQLDatabaseChain chain...
How many employees are also customers?
SQLQuery: SELECT COUNT(*) FROM Employee INNER JOIN Customer ON Employee.EmployeeId = Customer.SupportRepId;
SQLResult: [(59,)]
Answer: 59 employees are also customers.
> Finished chain.
> Finished chain.
' 59 employees are also customers.'... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/sqlite.html |
343660a0e518-0 | .ipynb
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PAL
Contents
Math Prompt
Colored Objects
Intermediate Steps
PAL#
Implements Program-Aided Language Models, as in https://arxiv.org/pdf/2211.10435.pdf.
from langchain.chains import PALChain
from langchain import OpenAI
llm = OpenAI(model_name='code-davinci-002', temperature=0, max_tokens=512)
Math Prompt#
... | https://langchain.readthedocs.io/en/latest/modules/chains/examples/pal.html |
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