id stringlengths 14 16 | text stringlengths 29 2.73k | source stringlengths 49 117 |
|---|---|---|
d70d254758ea-3 | Document(page_content='Toys come alive and have a blast doing so', metadata={'genre': 'animated', 'year': 1995.0}),
Document(page_content='A psychologist / detective gets lost in a series of dreams within dreams within dreams and Inception reused the idea', metadata={'director': 'Satoshi Kon', 'rating': 8.6, 'year': 2... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/self_query.html |
d70d254758ea-4 | [Document(page_content='A bunch of normal-sized women are supremely wholesome and some men pine after them', metadata={'director': 'Greta Gerwig', 'rating': 8.3, 'year': 2019.0})]
# This example specifies a composite filter
retriever.get_relevant_documents("What's a highly rated (above 8.5) science fiction film?")
quer... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/self_query.html |
d70d254758ea-5 | We can do this by passing enable_limit=True to the constructor.
retriever = SelfQueryRetriever.from_llm(
llm,
vectorstore,
document_content_description,
metadata_field_info,
enable_limit=True,
verbose=True
)
# This example only specifies a relevant query
retriever.get_relevant_documents("Wha... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/self_query.html |
320a672bf6e3-0 | .ipynb
.pdf
ElasticSearch BM25
Contents
Create New Retriever
Add texts (if necessary)
Use Retriever
ElasticSearch BM25#
Elasticsearch is a distributed, RESTful search and analytics engine. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/elastic_search_bm25.html |
320a672bf6e3-1 | # import elasticsearch
# elasticsearch_url="http://localhost:9200"
# retriever = ElasticSearchBM25Retriever(elasticsearch.Elasticsearch(elasticsearch_url), "langchain-index")
Add texts (if necessary)#
We can optionally add texts to the retriever (if they aren’t already in there)
retriever.add_texts(["foo", "bar", "worl... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/elastic_search_bm25.html |
30e2970208dc-0 | .ipynb
.pdf
kNN
Contents
Create New Retriever with Texts
Use Retriever
kNN#
In statistics, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method first developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover. It is used for classification and regression.
... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/knn.html |
c6cba752147a-0 | .ipynb
.pdf
Wikipedia
Contents
Installation
Examples
Running retriever
Question Answering on facts
Wikipedia#
Wikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system called MediaWik... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/wikipedia.html |
c6cba752147a-1 | 'summary': 'Hunter × Hunter (stylized as HUNTER×HUNTER and pronounced "hunter hunter") is a Japanese manga series written and illustrated by Yoshihiro Togashi. It has been serialized in Shueisha\'s shōnen manga magazine Weekly Shōnen Jump since March 1998, although the manga has frequently gone on extended hiatuses sin... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/wikipedia.html |
c6cba752147a-2 | with the first series having aired on the Funimation Channel in 2009 and the second series broadcast on Adult Swim\'s Toonami programming block from April 2016 to June 2019.\nHunter × Hunter has been a huge critical and financial success and has become one of the best-selling manga series of all time, having over 84 mi... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/wikipedia.html |
c6cba752147a-3 | docs[0].page_content[:400] # a content of the Document
'Hunter × Hunter (stylized as HUNTER×HUNTER and pronounced "hunter hunter") is a Japanese manga series written and illustrated by Yoshihiro Togashi. It has been serialized in Shueisha\'s shōnen manga magazine Weekly Shōnen Jump since March 1998, although the mang... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/wikipedia.html |
c6cba752147a-4 | -> **Question**: What is Apify?
**Answer**: Apify is a platform that allows you to easily automate web scraping, data extraction and web automation. It provides a cloud-based infrastructure for running web crawlers and other automation tasks, as well as a web-based tool for building and managing your crawlers. Additio... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/wikipedia.html |
3cb90acfe782-0 | .ipynb
.pdf
Self-querying with Chroma
Contents
Creating a Chroma vectorstore
Creating our self-querying retriever
Testing it out
Filter k
Self-querying with Chroma#
Chroma is a database for building AI applications with embeddings.
In the notebook we’ll demo the SelfQueryRetriever wrapped around a Chroma vector store... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/chroma_self_query.html |
3cb90acfe782-1 | Document(page_content="A bunch of normal-sized women are supremely wholesome and some men pine after them", metadata={"year": 2019, "director": "Greta Gerwig", "rating": 8.3}),
Document(page_content="Toys come alive and have a blast doing so", metadata={"year": 1995, "genre": "animated"}),
Document(page_content... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/chroma_self_query.html |
3cb90acfe782-2 | type="float"
),
]
document_content_description = "Brief summary of a movie"
llm = OpenAI(temperature=0)
retriever = SelfQueryRetriever.from_llm(llm, vectorstore, document_content_description, metadata_field_info, verbose=True)
Testing it out#
And now we can try actually using our retriever!
# This example only spec... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/chroma_self_query.html |
3cb90acfe782-3 | Document(page_content='Three men walk into the Zone, three men walk out of the Zone', metadata={'year': 1979, 'rating': 9.9, 'director': 'Andrei Tarkovsky', 'genre': 'science fiction'})]
# This example specifies a query and a filter
retriever.get_relevant_documents("Has Greta Gerwig directed any movies about women")
qu... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/chroma_self_query.html |
3cb90acfe782-4 | query='toys' filter=Operation(operator=<Operator.AND: 'and'>, arguments=[Comparison(comparator=<Comparator.GT: 'gt'>, attribute='year', value=1990), Comparison(comparator=<Comparator.LT: 'lt'>, attribute='year', value=2005), Comparison(comparator=<Comparator.EQ: 'eq'>, attribute='genre', value='animated')])
[Document(p... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/chroma_self_query.html |
3cb90acfe782-5 | Document(page_content='Leo DiCaprio gets lost in a dream within a dream within a dream within a ...', metadata={'year': 2010, 'director': 'Christopher Nolan', 'rating': 8.2})]
previous
ChatGPT Plugin
next
Cohere Reranker
Contents
Creating a Chroma vectorstore
Creating our self-querying retriever
Testing it out
Filt... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/chroma_self_query.html |
5f84c37f5cce-0 | .ipynb
.pdf
Cohere Reranker
Contents
Set up the base vector store retriever
Doing reranking with CohereRerank
Cohere Reranker#
Cohere is a Canadian startup that provides natural language processing models that help companies improve human-machine interactions.
This notebook shows how to use Cohere’s rerank endpoint i... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
5f84c37f5cce-1 | texts = text_splitter.split_documents(documents)
retriever = FAISS.from_documents(texts, OpenAIEmbeddings()).as_retriever(search_kwargs={"k": 20})
query = "What did the president say about Ketanji Brown Jackson"
docs = retriever.get_relevant_documents(query)
pretty_print_docs(docs)
Document 1:
One of the most serious c... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
5f84c37f5cce-2 | Groups of citizens blocking tanks with their bodies. Everyone from students to retirees teachers turned soldiers defending their homeland.
In this struggle as President Zelenskyy said in his speech to the European Parliament “Light will win over darkness.” The Ukrainian Ambassador to the United States is here tonight.... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
5f84c37f5cce-3 | It’s exploitation—and it drives up prices.
----------------------------------------------------------------------------------------------------
Document 8:
For the past 40 years we were told that if we gave tax breaks to those at the very top, the benefits would trickle down to everyone else.
But that trickle-down the... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
5f84c37f5cce-4 | The pandemic has been punishing.
And so many families are living paycheck to paycheck, struggling to keep up with the rising cost of food, gas, housing, and so much more.
I understand.
----------------------------------------------------------------------------------------------------
Document 12:
Madam Speaker, Mada... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
5f84c37f5cce-5 | Third, support our veterans.
Veterans are the best of us.
I’ve always believed that we have a sacred obligation to equip all those we send to war and care for them and their families when they come home.
My administration is providing assistance with job training and housing, and now helping lower-income veterans ge... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
5f84c37f5cce-6 | ----------------------------------------------------------------------------------------------------
Document 19:
I understand.
I remember when my Dad had to leave our home in Scranton, Pennsylvania to find work. I grew up in a family where if the price of food went up, you felt it.
That’s why one of the first things... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
5f84c37f5cce-7 | And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.
----------------------------------------------------------------------------------------------------
Document 2:
I spoke with th... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
5f84c37f5cce-8 | previous
Self-querying with Chroma
next
Contextual Compression
Contents
Set up the base vector store retriever
Doing reranking with CohereRerank
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 02, 2023. | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/cohere-reranker.html |
41dd099b9667-0 | .ipynb
.pdf
Weaviate Hybrid Search
Weaviate Hybrid Search#
Weaviate is an open source vector database.
Hybrid search is a technique that combines multiple search algorithms to improve the accuracy and relevance of search results. It uses the best features of both keyword-based search algorithms with vector search techn... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/weaviate-hybrid.html |
41dd099b9667-1 | )
Add some data:
docs = [
Document(
metadata={
"title": "Embracing The Future: AI Unveiled",
"author": "Dr. Rebecca Simmons",
},
page_content="A comprehensive analysis of the evolution of artificial intelligence, from its inception to its future prospects. Dr. Simmons... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/weaviate-hybrid.html |
41dd099b9667-2 | "author": "Prof. Jonathan K. Sterling",
},
page_content="In his follow-up to 'Symbiosis', Prof. Sterling takes a look at the subtle, unnoticed presence and influence of AI in our everyday lives. It reveals how AI has become woven into our routines, often without our explicit realization.",
),
]
retr... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/weaviate-hybrid.html |
41dd099b9667-3 | Document(page_content='Prof. Sterling explores the potential for harmonious coexistence between humans and artificial intelligence. The book discusses how AI can be integrated into society in a beneficial and non-disruptive manner.', metadata={})]
Do a hybrid search with where filter:
retriever.get_relevant_documents(
... | https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/weaviate-hybrid.html |
e2652b656f20-0 | .rst
.pdf
Tools
Tools#
Note
Conceptual Guide
Tools are ways that an agent can use to interact with the outside world.
For an overview of what a tool is, how to use them, and a full list of examples, please see the getting started documentation
Getting Started
Next, we have some examples of customizing and generically w... | https://python.langchain.com/en/latest/modules/agents/tools.html |
1417741b00c2-0 | .rst
.pdf
Agents
Agents#
Note
Conceptual Guide
In this part of the documentation we cover the different types of agents, disregarding which specific tools they are used with.
For a high level overview of the different types of agents, see the below documentation.
Agent Types
For documentation on how to create a custom ... | https://python.langchain.com/en/latest/modules/agents/agents.html |
70309837c16b-0 | .rst
.pdf
Toolkits
Toolkits#
Note
Conceptual Guide
This section of documentation covers agents with toolkits - eg an agent applied to a particular use case.
See below for a full list of agent toolkits
Azure Cognitive Services Toolkit
CSV Agent
Gmail Toolkit
Jira
JSON Agent
OpenAPI agents
Natural Language APIs
Pandas Da... | https://python.langchain.com/en/latest/modules/agents/toolkits.html |
ef92c669d5fb-0 | .rst
.pdf
Agent Executors
Agent Executors#
Note
Conceptual Guide
Agent executors take an agent and tools and use the agent to decide which tools to call and in what order.
In this part of the documentation we cover other related functionality to agent executors
How to combine agents and vectorstores
How to use the asyn... | https://python.langchain.com/en/latest/modules/agents/agent_executors.html |
2839187c2197-0 | .ipynb
.pdf
Plan and Execute
Contents
Plan and Execute
Imports
Tools
Planner, Executor, and Agent
Run Example
Plan and Execute#
Plan and execute agents accomplish an objective by first planning what to do, then executing the sub tasks. This idea is largely inspired by BabyAGI and then the “Plan-and-Solve” paper.
The ... | https://python.langchain.com/en/latest/modules/agents/plan_and_execute.html |
2839187c2197-1 | > Entering new PlanAndExecute chain...
steps=[Step(value="Search for Leo DiCaprio's girlfriend on the internet."), Step(value='Find her current age.'), Step(value='Raise her current age to the 0.43 power using a calculator or programming language.'), Step(value='Output the result.'), Step(value="Given the above steps t... | https://python.langchain.com/en/latest/modules/agents/plan_and_execute.html |
2839187c2197-2 | Current objective: value='Find her current age.'
Action:
```
{
"action": "Search",
"action_input": "What is Gigi Hadid's current age?"
}
```
Observation: 28 years
Thought:Previous steps: steps=[(Step(value="Search for Leo DiCaprio's girlfriend on the internet."), StepResponse(response='Leo DiCaprio is currently lin... | https://python.langchain.com/en/latest/modules/agents/plan_and_execute.html |
2839187c2197-3 | Response: Gigi Hadid's current age raised to the 0.43 power is approximately 4.19.
> Entering new AgentExecutor chain...
Action:
```
{
"action": "Final Answer",
"action_input": "The result is approximately 4.19."
}
```
> Finished chain.
*****
Step: Output the result.
Response: The result is approximately 4.19.
> En... | https://python.langchain.com/en/latest/modules/agents/plan_and_execute.html |
63a1b6d429e0-0 | .ipynb
.pdf
Getting Started
Getting Started#
Agents use an LLM to determine which actions to take and in what order.
An action can either be using a tool and observing its output, or returning to the user.
When used correctly agents can be extremely powerful. The purpose of this notebook is to show you how to easily us... | https://python.langchain.com/en/latest/modules/agents/getting_started.html |
63a1b6d429e0-1 | agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
Now let’s test it out!
agent.run("Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?")
> Entering new AgentExecutor chain...
I need to find out who Leo DiCaprio's girlfriend is and then calc... | https://python.langchain.com/en/latest/modules/agents/getting_started.html |
cacd94c4a8bd-0 | .ipynb
.pdf
Defining Custom Tools
Contents
Completely New Tools - String Input and Output
Tool dataclass
Subclassing the BaseTool class
Using the tool decorator
Custom Structured Tools
StructuredTool dataclass
Subclassing the BaseTool
Using the decorator
Modify existing tools
Defining the priorities among Tools
Using... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-1 | Tool dataclass#
The ‘Tool’ dataclass wraps functions that accept a single string input and returns a string output.
# Load the tool configs that are needed.
search = SerpAPIWrapper()
llm_math_chain = LLMMathChain(llm=llm, verbose=True)
tools = [
Tool.from_function(
func=search.run,
name = "Search",
... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-2 | > Entering new AgentExecutor chain...
I need to find out Leo DiCaprio's girlfriend's name and her age
Action: Search
Action Input: "Leo DiCaprio girlfriend"
Observation: After rumours of a romance with Gigi Hadid, the Oscar winner has seemingly moved on. First being linked to the television personality in September 202... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-3 | Subclassing the BaseTool class#
You can also directly subclass BaseTool. This is useful if you want more control over the instance variables or if you want to propagate callbacks to nested chains or other tools.
from typing import Optional, Type
from langchain.callbacks.manager import AsyncCallbackManagerForToolRun, Ca... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-4 | agent.run("Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?")
> Entering new AgentExecutor chain...
I need to use custom_search to find out who Leo DiCaprio's girlfriend is, and then use the Calculator to raise her age to the 0.43 power.
Action: custom_search
Action Input: "Leo DiCapr... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-5 | '3.547023357958959'
Using the tool decorator#
To make it easier to define custom tools, a @tool decorator is provided. This decorator can be used to quickly create a Tool from a simple function. The decorator uses the function name as the tool name by default, but this can be overridden by passing a string as the first... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-6 | """Searches the API for the query."""
return "Results"
search_api
Tool(name='search', description='search(query: str) -> str - Searches the API for the query.', args_schema=<class '__main__.SearchInput'>, return_direct=True, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-7 | description = "useful for when you need to answer questions about current events"
def _run(self, query: str, engine: str = "google", gl: str = "us", hl: str = "en", run_manager: Optional[CallbackManagerForToolRun] = None) -> str:
"""Use the tool."""
search_wrapper = SerpAPIWrapper(params={"engine": ... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-8 | return search_wrapper.run(query)
async def _arun(self, query: str, engine: str = "google", gl: str = "us", hl: str = "en", run_manager: Optional[AsyncCallbackManagerForToolRun] = None) -> str:
"""Use the tool asynchronously."""
raise NotImplementedError("custom_search does not support async")
... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-9 | Action: Google Search
Action Input: "Leo DiCaprio girlfriend"
Observation: After rumours of a romance with Gigi Hadid, the Oscar winner has seemingly moved on. First being linked to the television personality in September 2022, it appears as if his "age bracket" has moved up. This follows his rumoured relationship with... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-10 | An example is below.
# Import things that are needed generically
from langchain.agents import initialize_agent, Tool
from langchain.agents import AgentType
from langchain.llms import OpenAI
from langchain import LLMMathChain, SerpAPIWrapper
search = SerpAPIWrapper()
tools = [
Tool(
name = "Search",
... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-11 | llm_math_chain = LLMMathChain(llm=llm)
tools = [
Tool(
name="Calculator",
func=llm_math_chain.run,
description="useful for when you need to answer questions about math",
return_direct=True
)
]
llm = OpenAI(temperature=0)
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_S... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-12 | from langchain.chat_models import ChatOpenAI
from langchain.tools import Tool
from langchain.chat_models import ChatOpenAI
def _handle_error(error:ToolException) -> str:
return "The following errors occurred during tool execution:" + error.args[0]+ "Please try another tool."
def search_tool1(s: str):raise ToolExce... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
cacd94c4a8bd-13 | Thought:I should try using Search_tool2 instead.
Action: Search_tool2
Action Input: "Leo DiCaprio girlfriend"
Observation: The following errors occurred during tool execution:The search tool2 is not available.Please try another tool.
Thought:I should try using Search_tool3 as a last resort.
Action: Search_tool3
Action ... | https://python.langchain.com/en/latest/modules/agents/tools/custom_tools.html |
179a5e68878d-0 | .ipynb
.pdf
Tool Input Schema
Tool Input Schema#
By default, tools infer the argument schema by inspecting the function signature. For more strict requirements, custom input schema can be specified, along with custom validation logic.
from typing import Any, Dict
from langchain.agents import AgentType, initialize_agent... | https://python.langchain.com/en/latest/modules/agents/tools/tool_input_validation.html |
179a5e68878d-1 | print(answer)
The main title of langchain.com is "LANG CHAIN 🦜️🔗 Official Home Page"
agent.run("What's the main title on google.com?")
---------------------------------------------------------------------------
ValidationError Traceback (most recent call last)
Cell In[7], line 1
----> 1 agen... | https://python.langchain.com/en/latest/modules/agents/tools/tool_input_validation.html |
179a5e68878d-2 | 114 except (KeyboardInterrupt, Exception) as e:
115 self.callback_manager.on_chain_error(e, verbose=self.verbose)
File ~/code/lc/lckg/langchain/agents/agent.py:792, in AgentExecutor._call(self, inputs)
790 # We now enter the agent loop (until it returns something).
791 while self._should_continue(iterat... | https://python.langchain.com/en/latest/modules/agents/tools/tool_input_validation.html |
179a5e68878d-3 | 107 **kwargs: Any,
108 ) -> str:
109 """Run the tool."""
--> 110 run_input = self._parse_input(tool_input)
111 if not self.verbose and verbose is not None:
112 verbose_ = verbose
File ~/code/lc/lckg/langchain/tools/base.py:71, in BaseTool._parse_input(self, tool_input)
69 if... | https://python.langchain.com/en/latest/modules/agents/tools/tool_input_validation.html |
95c9087d413a-0 | .ipynb
.pdf
Multi-Input Tools
Contents
Multi-Input Tools with a string format
Multi-Input Tools#
This notebook shows how to use a tool that requires multiple inputs with an agent. The recommended way to do so is with the StructuredTool class.
import os
os.environ["LANGCHAIN_TRACING"] = "true"
from langchain import Op... | https://python.langchain.com/en/latest/modules/agents/tools/multi_input_tool.html |
95c9087d413a-1 | '3 times 4 is 12'
Multi-Input Tools with a string format#
An alternative to the structured tool would be to use the regular Tool class and accept a single string. The tool would then have to handle the parsing logic to extract the relavent values from the text, which tightly couples the tool representation to the agent... | https://python.langchain.com/en/latest/modules/agents/tools/multi_input_tool.html |
95c9087d413a-2 | > Entering new AgentExecutor chain...
I need to multiply two numbers
Action: Multiplier
Action Input: 3,4
Observation: 12
Thought: I now know the final answer
Final Answer: 3 times 4 is 12
> Finished chain.
'3 times 4 is 12'
previous
Defining Custom Tools
next
Tool Input Schema
Contents
Multi-Input Tools with a st... | https://python.langchain.com/en/latest/modules/agents/tools/multi_input_tool.html |
da43b64b50a5-0 | .md
.pdf
Getting Started
Contents
List of Tools
Getting Started#
Tools are functions that agents can use to interact with the world.
These tools can be generic utilities (e.g. search), other chains, or even other agents.
Currently, tools can be loaded with the following snippet:
from langchain.agents import load_tool... | https://python.langchain.com/en/latest/modules/agents/tools/getting_started.html |
da43b64b50a5-1 | Requires LLM: No
wolfram-alpha
Tool Name: Wolfram Alpha
Tool Description: A wolfram alpha search engine. Useful for when you need to answer questions about Math, Science, Technology, Culture, Society and Everyday Life. Input should be a search query.
Notes: Calls the Wolfram Alpha API and then parses results.
Requires ... | https://python.langchain.com/en/latest/modules/agents/tools/getting_started.html |
da43b64b50a5-2 | Requires LLM: Yes
open-meteo-api
Tool Name: Open Meteo API
Tool Description: Useful for when you want to get weather information from the OpenMeteo API. The input should be a question in natural language that this API can answer.
Notes: A natural language connection to the Open Meteo API (https://api.open-meteo.com/), ... | https://python.langchain.com/en/latest/modules/agents/tools/getting_started.html |
da43b64b50a5-3 | For more information on this, see this page
searx-search
Tool Name: Search
Tool Description: A wrapper around SearxNG meta search engine. Input should be a search query.
Notes: SearxNG is easy to deploy self-hosted. It is a good privacy friendly alternative to Google Search. Uses the SearxNG API.
Requires LLM: No
Extra... | https://python.langchain.com/en/latest/modules/agents/tools/getting_started.html |
da43b64b50a5-4 | Notes: A connection to the OpenWeatherMap API (https://api.openweathermap.org), specifically the /data/2.5/weather endpoint.
Requires LLM: No
Extra Parameters: openweathermap_api_key (your API key to access this endpoint)
previous
Tools
next
Defining Custom Tools
Contents
List of Tools
By Harrison Chase
... | https://python.langchain.com/en/latest/modules/agents/tools/getting_started.html |
234e27880150-0 | .ipynb
.pdf
Google Search
Contents
Number of Results
Metadata Results
Google Search#
This notebook goes over how to use the google search component.
First, you need to set up the proper API keys and environment variables. To set it up, create the GOOGLE_API_KEY in the Google Cloud credential console (https://console.... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_search.html |
234e27880150-1 | "STATE OF HAWAII. 1 Child's First Name. (Type or print). 2. Sex. BARACK. 3. This Birth. CERTIFICATE OF LIVE BIRTH. FILE. NUMBER 151 le. lb. Middle Name. Barack Hussein Obama II is an American former politician who served as the 44th president of the United States from 2009 to 2017. A member of the Democratic\xa0... Whe... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_search.html |
234e27880150-2 | Number of Results#
You can use the k parameter to set the number of results
search = GoogleSearchAPIWrapper(k=1)
tool = Tool(
name = "I'm Feeling Lucky",
description="Search Google and return the first result.",
func=search.run
)
tool.run("python")
'The official home of the Python Programming Language.'
‘Th... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_search.html |
33ac2ec8cc39-0 | .ipynb
.pdf
Metaphor Search
Contents
Metaphor Search
Call the API
Use Metaphor as a tool
Metaphor Search#
This notebook goes over how to use Metaphor search.
First, you need to set up the proper API keys and environment variables. Request an API key [here](Sign up for early access here).
Then enter your API key as an... | https://python.langchain.com/en/latest/modules/agents/tools/examples/metaphor_search.html |
33ac2ec8cc39-1 | {'results': [{'url': 'https://www.anthropic.com/index/core-views-on-ai-safety', 'title': 'Core Views on AI Safety: When, Why, What, and How', 'dateCreated': '2023-03-08', 'author': None, 'score': 0.1998831331729889}, {'url': 'https://aisafety.wordpress.com/', 'title': 'Extinction Risk from Artificial Intelligence', 'da... | https://python.langchain.com/en/latest/modules/agents/tools/examples/metaphor_search.html |
33ac2ec8cc39-2 | 'title': 'Planning for AGI and beyond', 'dateCreated': '2023-02-24', 'author': 'Authors', 'score': 0.18665121495723724}, {'url': 'https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html', 'title': 'The Artificial Intelligence Revolution: Part 1 - Wait But Why', 'dateCreated': '2015-01-22', 'author': 'T... | https://python.langchain.com/en/latest/modules/agents/tools/examples/metaphor_search.html |
33ac2ec8cc39-3 | [{'title': 'Core Views on AI Safety: When, Why, What, and How',
'url': 'https://www.anthropic.com/index/core-views-on-ai-safety',
'author': None,
'date_created': '2023-03-08'},
{'title': 'Extinction Risk from Artificial Intelligence',
'url': 'https://aisafety.wordpress.com/',
'author': None,
'date_created'... | https://python.langchain.com/en/latest/modules/agents/tools/examples/metaphor_search.html |
33ac2ec8cc39-4 | 'date_created': '2023-02-24'},
{'title': 'The Artificial Intelligence Revolution: Part 1 - Wait But Why',
'url': 'https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html',
'author': 'Tim Urban',
'date_created': '2015-01-22'},
{'title': 'Anthropic: Core Views on AI Safety: When, Why, What, and H... | https://python.langchain.com/en/latest/modules/agents/tools/examples/metaphor_search.html |
33ac2ec8cc39-5 | )
async_browser = create_async_playwright_browser()
toolkit = PlayWrightBrowserToolkit.from_browser(async_browser=async_browser)
tools = toolkit.get_tools()
tools_by_name = {tool.name: tool for tool in tools}
print(tools_by_name.keys())
navigate_tool = tools_by_name["navigate_browser"]
extract_text = tools_by_name["ext... | https://python.langchain.com/en/latest/modules/agents/tools/examples/metaphor_search.html |
33ac2ec8cc39-6 | Observation: [{'title': 'Center for AI Safety', 'url': 'https://safe.ai/', 'author': None, 'date_created': '2022-01-01'}]
Thought:I need to navigate to the URL provided in the search results to find the tweet.
> Finished chain.
'I need to navigate to the URL provided in the search results to find the tweet.'
previous
I... | https://python.langchain.com/en/latest/modules/agents/tools/examples/metaphor_search.html |
92ba802e4182-0 | .ipynb
.pdf
Human as a tool
Contents
Configuring the Input Function
Human as a tool#
Human are AGI so they can certainly be used as a tool to help out AI agent
when it is confused.
from langchain.chat_models import ChatOpenAI
from langchain.llms import OpenAI
from langchain.agents import load_tools, initialize_agent
... | https://python.langchain.com/en/latest/modules/agents/tools/examples/human_tools.html |
92ba802e4182-1 | def get_input() -> str:
print("Insert your text. Enter 'q' or press Ctrl-D (or Ctrl-Z on Windows) to end.")
contents = []
while True:
try:
line = input()
except EOFError:
break
if line == "q":
break
contents.append(line)
return "\n".joi... | https://python.langchain.com/en/latest/modules/agents/tools/examples/human_tools.html |
92ba802e4182-2 | oh who said it
q
Observation: oh who said it
Thought:I can use DuckDuckGo Search to find out who said the quote
Action: DuckDuckGo Search
Action Input: "Who said 'Veni, vidi, vici'?" | https://python.langchain.com/en/latest/modules/agents/tools/examples/human_tools.html |
92ba802e4182-3 | Observation: Updated on September 06, 2019. "Veni, vidi, vici" is a famous phrase said to have been spoken by the Roman Emperor Julius Caesar (100-44 BCE) in a bit of stylish bragging that impressed many of the writers of his day and beyond. The phrase means roughly "I came, I saw, I conquered" and it could be pronounc... | https://python.langchain.com/en/latest/modules/agents/tools/examples/human_tools.html |
92ba802e4182-4 | simple, strong meaning: I'm powerful and fast. But it's not just the meaning that makes the phrase so powerful. Caesar was a gifted writer, and the phrase makes use of Latin grammar to ... One of the best known and most frequently quoted Latin expression, veni, vidi, vici may be found hundreds of times throughout the c... | https://python.langchain.com/en/latest/modules/agents/tools/examples/human_tools.html |
92ba802e4182-5 | Thought:I now know the final answer
Final Answer: Julius Caesar said the quote "Veni, vidi, vici" which means "I came, I saw, I conquered".
> Finished chain.
'Julius Caesar said the quote "Veni, vidi, vici" which means "I came, I saw, I conquered".'
previous
HuggingFace Tools
next
IFTTT WebHooks
Contents
Configurin... | https://python.langchain.com/en/latest/modules/agents/tools/examples/human_tools.html |
899066a092fb-0 | .ipynb
.pdf
Google Places
Google Places#
This notebook goes through how to use Google Places API
#!pip install googlemaps
import os
os.environ["GPLACES_API_KEY"] = ""
from langchain.tools import GooglePlacesTool
places = GooglePlacesTool()
places.run("al fornos")
"1. Delfina Restaurant\nAddress: 3621 18th St, San Franc... | https://python.langchain.com/en/latest/modules/agents/tools/examples/google_places.html |
71c38d720a58-0 | .ipynb
.pdf
File System Tools
Contents
The FileManagementToolkit
Selecting File System Tools
File System Tools#
LangChain provides tools for interacting with a local file system out of the box. This notebook walks through some of them.
Note: these tools are not recommended for use outside a sandboxed environment!
Fir... | https://python.langchain.com/en/latest/modules/agents/tools/examples/filesystem.html |
71c38d720a58-1 | toolkit.get_tools()
[CopyFileTool(name='copy_file', description='Create a copy of a file in a specified location', args_schema=<class 'langchain.tools.file_management.copy.FileCopyInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root... | https://python.langchain.com/en/latest/modules/agents/tools/examples/filesystem.html |
71c38d720a58-2 | MoveFileTool(name='move_file', description='Move or rename a file from one location to another', args_schema=<class 'langchain.tools.file_management.move.FileMoveInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders... | https://python.langchain.com/en/latest/modules/agents/tools/examples/filesystem.html |
71c38d720a58-3 | Selecting File System Tools#
If you only want to select certain tools, you can pass them in as arguments when initializing the toolkit, or you can individually initialize the desired tools.
tools = FileManagementToolkit(root_dir=str(working_directory.name), selected_tools=["read_file", "write_file", "list_directory"]).... | https://python.langchain.com/en/latest/modules/agents/tools/examples/filesystem.html |
71c38d720a58-4 | write_tool.run({"file_path": "example.txt", "text": "Hello World!"})
'File written successfully to example.txt.'
# List files in the working directory
list_tool.run({})
'example.txt'
previous
DuckDuckGo Search
next
Google Places
Contents
The FileManagementToolkit
Selecting File System Tools
By Harrison Chase
... | https://python.langchain.com/en/latest/modules/agents/tools/examples/filesystem.html |
b03ef1a1ff44-0 | .ipynb
.pdf
HuggingFace Tools
HuggingFace Tools#
Huggingface Tools supporting text I/O can be
loaded directly using the load_huggingface_tool function.
# Requires transformers>=4.29.0 and huggingface_hub>=0.14.1
!pip install --upgrade transformers huggingface_hub > /dev/null
from langchain.agents import load_huggingfac... | https://python.langchain.com/en/latest/modules/agents/tools/examples/huggingface_tools.html |
f42c0eef3424-0 | .ipynb
.pdf
YouTubeSearchTool
YouTubeSearchTool#
This notebook shows how to use a tool to search YouTube
Adapted from venuv/langchain_yt_tools
#! pip install youtube_search
from langchain.tools import YouTubeSearchTool
tool = YouTubeSearchTool()
tool.run("lex friedman")
"['/watch?v=VcVfceTsD0A&pp=ygUMbGV4IGZyaWVkbWFu',... | https://python.langchain.com/en/latest/modules/agents/tools/examples/youtube.html |
b1e781275043-0 | .ipynb
.pdf
AWS Lambda API
AWS Lambda API#
This notebook goes over how to use the AWS Lambda Tool component.
AWS Lambda is a serverless computing service provided by Amazon Web Services (AWS), designed to allow developers to build and run applications and services without the need for provisioning or managing servers. ... | https://python.langchain.com/en/latest/modules/agents/tools/examples/awslambda.html |
b1e781275043-1 | agent.run("Send an email to test@testing123.com saying hello world.")
previous
ArXiv API Tool
next
Shell Tool
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 02, 2023. | https://python.langchain.com/en/latest/modules/agents/tools/examples/awslambda.html |
d654fc60a2ac-0 | .ipynb
.pdf
Bing Search
Contents
Number of results
Metadata Results
Bing Search#
This notebook goes over how to use the bing search component.
First, you need to set up the proper API keys and environment variables. To set it up, follow the instructions found here.
Then we will need to set some environment variables.... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
d654fc60a2ac-1 | 'Thanks to the flexibility of <b>Python</b> and the powerful ecosystem of packages, the Azure CLI supports features such as autocompletion (in shells that support it), persistent credentials, JMESPath result parsing, lazy initialization, network-less unit tests, and more. Building an open-source and cross-platform Azur... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
d654fc60a2ac-2 | self-contained, so the tutorial can be read off-line as well. For a description of standard objects and modules, see The <b>Python</b> Standard ... <b>Python</b> is a general-purpose, versatile, and powerful programming language. It's a great first language because <b>Python</b> code is concise and easy to read. Wh... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
d654fc60a2ac-3 | Number of results#
You can use the k parameter to set the number of results
search = BingSearchAPIWrapper(k=1)
search.run("python")
'Thanks to the flexibility of <b>Python</b> and the powerful ecosystem of packages, the Azure CLI supports features such as autocompletion (in shells that support it), persistent credentia... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
d654fc60a2ac-4 | {'snippet': '<b>Apples</b> boast many vitamins and minerals, though not in high amounts. However, <b>apples</b> are usually a good source of vitamin C. Vitamin C. Also called ascorbic acid, this vitamin is a common ...',
'title': 'Apples 101: Nutrition Facts and Health Benefits',
'link': 'https://www.healthline.com... | https://python.langchain.com/en/latest/modules/agents/tools/examples/bing_search.html |
d3109ed92431-0 | .ipynb
.pdf
OpenWeatherMap API
Contents
Use the wrapper
Use the tool
OpenWeatherMap API#
This notebook goes over how to use the OpenWeatherMap component to fetch weather information.
First, you need to sign up for an OpenWeatherMap API key:
Go to OpenWeatherMap and sign up for an API key here
pip install pyowm
Then w... | https://python.langchain.com/en/latest/modules/agents/tools/examples/openweathermap.html |
d3109ed92431-1 | agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
verbose=True
)
agent_chain.run("What's the weather like in London?")
> Entering new AgentExecutor chain...
I need to find out the current weather in London.
Action: OpenWeatherMap
Action Input: London,GB
Observation: In London,GB, the current weather is as follows:
Deta... | https://python.langchain.com/en/latest/modules/agents/tools/examples/openweathermap.html |
ada135c29afc-0 | .ipynb
.pdf
DuckDuckGo Search
DuckDuckGo Search#
This notebook goes over how to use the duck-duck-go search component.
# !pip install duckduckgo-search
from langchain.tools import DuckDuckGoSearchRun
search = DuckDuckGoSearchRun()
search.run("Obama's first name?") | https://python.langchain.com/en/latest/modules/agents/tools/examples/ddg.html |
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