langtree.core.vectordb

Module Contents

Classes

VectorDatabase

Helper class that provides a standard way to create an ABC using
class langtree.core.vectordb.VectorDatabase[source]

Bases: abc.ABC

Helper class that provides a standard way to create an ABC using inheritance.

abstract insert(vector: List[float], metadata: Any, **kwargs) → None[source]

Insert a vector into the database with optional metadata and additional parameters.

Parameters:

  • vector (List[float]) – The vector to be inserted.

  • metadata (Any) – Optional metadata associated with the vector.

  • **kwargs – Additional parameters for insertion.

abstract query(vector: List[float], top_k: int, **kwargs) → List[Any][source]

Query the database for the ‘top_k’ closest vectors to the provided vector.

Returns a list of matched vectors’ metadata. Accepts additional parameters.

Parameters:

  • vector (List[float]) – The vector used for querying.

  • top_k (int) – Number of closest vectors to return.

  • **kwargs – Additional parameters for querying.

Returns:

List of matched vectors’ metadata.

Return type:

List[Any]

__getattr__(name)[source]

Override Python’s default behavior when an attribute isn’t found.

This can be used to ‘forward’ method calls to the underlying database object.

Parameters:

name (str) – The name of the attribute.

Returns:

The method from the underlying database object.

Return type:

callable