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crate-workbench / langchain Public

forked from langchain-ai/langchain

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CrateDB vector: Refactor SQLAlchemy data model to provide two storage strategies#20

Draft

amotl wants to merge 19 commits intocratedbcrate-workbench/langchain:cratedbfrom

embedding-table-per-collectioncrate-workbench/langchain:embedding-table-per-collectionCopy head branch name to clipboard

Conversation Commits19 (19)Checks Files changed

Draft

CrateDB vector: Refactor SQLAlchemy data model to provide two storage strategies#20
amotl wants to merge 19 commits intocratedbfrom
embedding-table-per-collection

Commits

Commits on Dec 1, 2023

Fix pytest option parsing
amotl
committed
pgvector: Slight refactoring to make code a bit more reusable
amotl
committed
CrateDB vector: Add vector store support
amotl
committed
CrateDB vector: Add documentation
amotl
committed
Add SQLAlchemy document loader
amotl
committed
CrateDB loader: Add document loader support
amotl
committed
Generalize `SQLChatMessageHistory` to make code a bit more reusable
amotl
committed
CrateDB memory: Add conversational memory support
amotl
committed
CrateDB vector: Fix usage when only reading, and not storing
amotl
committed
CrateDB vector: Unable to invoke `add_embeddings` without embeddings
amotl
committed
CrateDB vector: Improve SQLAlchemy model factory
amotl
committed
CrateDB vector: Fix cascading deletes
amotl
committed
CrateDB vector: Add CrateDBVectorSearchMultiCollection
amotl
committed
CrateDB vector: Improve SQLAlchemy data model query utility functions
amotl
committed
CrateDB vector: Improve testing when initialized without dimensionality
amotl
committed
pgvector: Use SA's `bulk_save_objects` method for inserting embeddings
amotl
committed
CrateDB vector: Test non-deterministic values by using pytest.approx
amotl
committed
CrateDB vector: Fix initialization of vector dimensionality
amotl
committed
CrateDB vector: Refactor SQLAlchemy data model to provide two strategies
amotl
committed

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