a6bebd5fcb* Adds Chat Memory on Components * Removes Guides * Adds Types * Fix links that referenced Guides * combine-files * redirects * content * fix(docs): update sidebar position and redirect path in configuration files * feat(docs): update memory components documentation and sidebar links * feat(docs): enhance configuration documentation with ContentBlock and DataFrame examples * add-link-for-pydantic-baseclass * update-links --------- Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com>
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| title | slug |
|---|---|
| Loaders | /components-loaders |
Loader components in Langflow
:::info As of Langflow 1.1, loader components are now found in the Components menu under Bundles. :::
Loaders fetch data into Langflow from various sources, such as databases, websites, and local files.
Use a loader component in a flow
This flow creates a question-and-answer chatbot for documents that are loaded into the flow. The Unstructured.io loader component loads files from your local machine, and then parses them into a list of structured Data objects. This loaded data informs the Open AI component's responses to your questions.
Confluence
The Confluence component integrates with the Confluence wiki collaboration platform to load and process documents. It utilizes the ConfluenceLoader from LangChain to fetch content from a specified Confluence space.
Inputs:
| Name | Display Name | Info |
|---|---|---|
| url | Site URL | The base URL of the Confluence Space (e.g., https://company.atlassian.net/wiki) |
| username | Username | Atlassian User E-mail (e.g., email@example.com) |
| api_key | API Key | Atlassian API Key (Create an API key at: Atlassian) |
| space_key | Space Key | The key of the Confluence space to access |
| cloud | Use Cloud? | Whether to use Confluence Cloud (default: true) |
| content_format | Content Format | Specify content format (default: STORAGE) |
| max_pages | Max Pages | Maximum number of pages to retrieve (default: 1000) |
Outputs:
| Name | Display Name | Info |
|---|---|---|
| data | Data | List of Data objects containing the loaded Confluence documents |
GitLoader
The GitLoader component uses the GitLoader from LangChain to fetch and load documents from a specified Git repository.
Inputs:
| Name | Display Name | Info |
|---|---|---|
| repo_path | Repository Path | The local path to the Git repository |
| clone_url | Clone URL | The URL to clone the Git repository from (optional) |
| branch | Branch | The branch to load files from (default: 'main') |
| file_filter | File Filter | Patterns to filter files (e.g., '.py' to include only .py files, '!.py' to exclude .py files) |
| content_filter | Content Filter | A regex pattern to filter files based on their content |
Outputs:
| Name | Display Name | Info |
|---|---|---|
| data | Data | List of Data objects containing the loaded Git repository documents |
Unstructured
This component uses the Unstructured.io Serverless API to load and parse files into a list of structured Data objects.
Inputs:
| Name | Display Name | Info |
|---|---|---|
| file | File | The path to the file to be parsed (supported types are listed here) |
| api_key | API Key | Unstructured.io Serverless API Key |
| api_url | Unstructured.io API URL | Optional URL for the Unstructured API |
| chunking_strategy | Chunking Strategy | Strategy for chunking the document (options: "", "basic", "by_title", "by_page", "by_similarity") |
| unstructured_args | Additional Arguments | Optional dictionary of additional arguments for the Unstructured.io API |
Outputs:
| Name | Display Name | Info |
|---|---|---|
| data | Data | List of Data objects containing the parsed content from the input file |