Skip to main content
Version: devel

destinations.impl.lancedb.configuration

LanceDBCredentials Objects​

@configspec
class LanceDBCredentials(CredentialsConfiguration)

[view_source]

uri​

LanceDB database URI. Defaults to local, on-disk instance.

The available schemas are:

  • /path/to/database - local database.
  • db://host:port - remote database (LanceDB cloud).

api_key​

API key for the remote connections (LanceDB cloud).

embedding_model_provider_api_key​

API key for the embedding model provider.

LanceDBClientOptions Objects​

@configspec
class LanceDBClientOptions(BaseConfiguration)

[view_source]

max_retries​

EmbeddingFunction class wraps the calls for source and query embedding generation inside a rate limit handler that retries the requests with exponential backoff after successive failures.

You can tune it by setting it to a different number, or disable it by setting it to 0.

LanceDBClientConfiguration Objects​

@configspec
class LanceDBClientConfiguration(DestinationClientDwhConfiguration)

[view_source]

dataset_separator​

Character for the dataset separator.

options​

LanceDB client options.

embedding_model_provider​

Embedding provider used for generating embeddings. Default is "cohere". You can find the full list of providers at https://github.com/lancedb/lancedb/tree/main/python/python/lancedb/embeddings as well as https://lancedb.github.io/lancedb/embeddings/default_embedding_functions/.

embedding_model​

The model used by the embedding provider for generating embeddings. Check with the embedding provider which options are available. Reference https://lancedb.github.io/lancedb/embeddings/default_embedding_functions/.

embedding_model_dimensions​

The dimensions of the embeddings generated. In most cases it will be automatically inferred, by LanceDB, but it is configurable in rare cases.

Make sure it corresponds with the associated embedding model's dimensionality.

vector_field_name​

Name of the special field to store the vector embeddings.

id_field_name​

Name of the special field to manage deduplication.

sentinel_table_name​

Name of the sentinel table that encapsulates datasets. Since LanceDB has no concept of schemas, this table serves as a proxy to group related dlt tables together.

fingerprint​

def fingerprint() -> str

[view_source]

Returns a fingerprint of a connection string.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

DHelp

Ask a question

Welcome to "Codex Central", your next-gen help center, driven by OpenAI's GPT-4 model. It's more than just a forum or a FAQ hub – it's a dynamic knowledge base where coders can find AI-assisted solutions to their pressing problems. With GPT-4's powerful comprehension and predictive abilities, Codex Central provides instantaneous issue resolution, insightful debugging, and personalized guidance. Get your code running smoothly with the unparalleled support at Codex Central - coding help reimagined with AI prowess.