mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-09 16:18:30 +00:00
Migrate docs from MkDocs to Mintlify (#1423)
* add new mintlify docs * add favicon.svg * minor edits * add github stats
This commit is contained in:
81
docs/tools/youtubevideosearchtool.mdx
Normal file
81
docs/tools/youtubevideosearchtool.mdx
Normal file
@@ -0,0 +1,81 @@
|
||||
---
|
||||
title: YouTube Video RAG Search
|
||||
description: The `YoutubeVideoSearchTool` is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube video.
|
||||
icon: youtube
|
||||
---
|
||||
|
||||
# `YoutubeVideoSearchTool`
|
||||
|
||||
<Note>
|
||||
We are still working on improving tools, so there might be unexpected behavior or changes in the future.
|
||||
</Note>
|
||||
|
||||
## Description
|
||||
|
||||
This tool is part of the `crewai_tools` package and is designed to perform semantic searches within Youtube video content, utilizing Retrieval-Augmented Generation (RAG) techniques.
|
||||
It is one of several "Search" tools in the package that leverage RAG for different sources.
|
||||
The YoutubeVideoSearchTool allows for flexibility in searches; users can search across any Youtube video content without specifying a video URL,
|
||||
or they can target their search to a specific Youtube video by providing its URL.
|
||||
|
||||
## Installation
|
||||
|
||||
To utilize the `YoutubeVideoSearchTool`, you must first install the `crewai_tools` package.
|
||||
This package contains the `YoutubeVideoSearchTool` among other utilities designed to enhance your data analysis and processing tasks.
|
||||
Install the package by executing the following command in your terminal:
|
||||
|
||||
```shell
|
||||
pip install 'crewai[tools]'
|
||||
```
|
||||
|
||||
## Example
|
||||
|
||||
To integrate the YoutubeVideoSearchTool into your Python projects, follow the example below.
|
||||
This demonstrates how to use the tool both for general Youtube content searches and for targeted searches within a specific video's content.
|
||||
|
||||
```python Code
|
||||
from crewai_tools import YoutubeVideoSearchTool
|
||||
|
||||
# General search across Youtube content without specifying a video URL,
|
||||
# so the agent can search within any Youtube video content
|
||||
# it learns about its url during its operation
|
||||
tool = YoutubeVideoSearchTool()
|
||||
|
||||
# Targeted search within a specific Youtube video's content
|
||||
tool = YoutubeVideoSearchTool(
|
||||
youtube_video_url='https://youtube.com/watch?v=example'
|
||||
)
|
||||
```
|
||||
|
||||
## Arguments
|
||||
|
||||
The YoutubeVideoSearchTool accepts the following initialization arguments:
|
||||
|
||||
- `youtube_video_url`: An optional argument at initialization but required if targeting a specific Youtube video. It specifies the Youtube video URL path you want to search within.
|
||||
|
||||
## Custom model and embeddings
|
||||
|
||||
By default, the tool uses OpenAI for both embeddings and summarization. To customize the model, you can use a config dictionary as follows:
|
||||
|
||||
```python Code
|
||||
tool = YoutubeVideoSearchTool(
|
||||
config=dict(
|
||||
llm=dict(
|
||||
provider="ollama", # or google, openai, anthropic, llama2, ...
|
||||
config=dict(
|
||||
model="llama2",
|
||||
# temperature=0.5,
|
||||
# top_p=1,
|
||||
# stream=true,
|
||||
),
|
||||
),
|
||||
embedder=dict(
|
||||
provider="google", # or openai, ollama, ...
|
||||
config=dict(
|
||||
model="models/embedding-001",
|
||||
task_type="retrieval_document",
|
||||
# title="Embeddings",
|
||||
),
|
||||
),
|
||||
)
|
||||
)
|
||||
```
|
||||
Reference in New Issue
Block a user