Commit Graph

156 Commits (b2d9970fc1ae93610ab4e3d07d1796f8174fdf43)

Author SHA1 Message Date
Juan José Torres 1cc7d4c9eb
Update SageMaker Endpoint Embeddings docs to be up to date with current requirements (#8103)
- **Description:** Simple change of the Class that ContentHandler
inherits from. To create an object of type SagemakerEndpointEmbeddings,
the property content_handler must be of type EmbeddingsContentHandler
not ContentHandlerBase anymore,
  - **Twitter handle:** @Juanjo_Torres11

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Bagatur 1a7d8667c8
Bagatur/gateway chat (#8198)
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: dbczumar <corey.zumar@databricks.com>
1 year ago
Ettore Di Giacinto ae28568e2a
Add embeddings for LocalAI (#8134)
Description:

This PR adds embeddings for LocalAI (
https://github.com/go-skynet/LocalAI ), a self-hosted OpenAI drop-in
replacement. As LocalAI can re-use OpenAI clients it is mostly following
the lines of the OpenAI embeddings, however when embedding documents, it
just uses string instead of sending tokens as sending tokens is
best-effort depending on the model being used in LocalAI. Sending tokens
is also tricky as token id's can mismatch with the model - so it's safer
to just send strings in this case.

Partly related to: https://github.com/hwchase17/langchain/issues/5256

Dependencies: No new dependencies

Twitter: @mudler_it
---------

Signed-off-by: mudler <mudler@localai.io>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Mike Nitsenko d983046f90
Extend Cube Semantic Loader functionality (#8186)
**PR Description:**

This pull request introduces several enhancements and new features to
the `CubeSemanticLoader`. The changes include the following:

1. Added imports for the `json` and `time` modules.
2. Added new constructor parameters: `load_dimension_values`,
`dimension_values_limit`, `dimension_values_max_retries`, and
`dimension_values_retry_delay`.
3. Updated the class documentation with descriptions for the new
constructor parameters.
4. Added a new private method `_get_dimension_values()` to retrieve
dimension values from Cube's REST API.
5. Modified the `load()` method to load dimension values for string
dimensions if `load_dimension_values` is set to `True`.
6. Updated the API endpoint in the `load()` method from the base URL to
the metadata endpoint.
7. Refactored the code to retrieve metadata from the response JSON.
8. Added the `column_member_type` field to the metadata dictionary to
indicate if a column is a measure or a dimension.
9. Added the `column_values` field to the metadata dictionary to store
the dimension values retrieved from Cube's API.
10. Modified the `page_content` construction to include the column title
and description instead of the table name, column name, data type,
title, and description.

These changes improve the functionality and flexibility of the
`CubeSemanticLoader` class by allowing the loading of dimension values
and providing more detailed metadata for each document.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Bagatur c8c8635dc9
mv module integrations docs (#8101) 1 year ago
Bagatur 58f65fcf12
use top nav docs (#8090) 1 year ago