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**Description:** This PR updates `CassandraGraphVectorStore` to be based off `CassandraVectorStore`, instead of using a custom CQL implementation. This allows users using a `CassandraVectorStore` to upgrade to a `GraphVectorStore` without having to change their database schema or re-embed documents. This PR also updates the documentation of the `GraphVectorStore` base class and contains native async implementations for the standard graph methods: `traversal_search` and `mmr_traversal_search` in `CassandraVectorStore`. **Issue:** No issue number. **Dependencies:** https://github.com/langchain-ai/langchain/pull/27078 (already-merged) **Lint and test**: - Lint and tests all pass, including existing `CassandraGraphVectorStore` tests. - Also added numerous additional tests based of the tests in `langchain-astradb` which cover many more scenarios than the existing tests for `Cassandra` and `CassandraGraphVectorStore` ** BREAKING CHANGE** Note that this is a breaking change for existing users of `CassandraGraphVectorStore`. They will need to wipe their database table and restart. However: - The interfaces have not changed. Just the underlying storage mechanism. - Any one using `langchain_community.vectorstores.Cassandra` can instead use `langchain_community.graph_vectorstores.CassandraGraphVectorStore` and they will gain Graph capabilities without having to re-embed their existing documents. This is the primary goal of this PR. --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
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| .. | ||
| extractors | ||
| __init__.py | ||
| base.py | ||
| cassandra.py | ||
| links.py | ||
| mmr_helper.py | ||
| networkx.py | ||