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renamed google_vertex_ai_vector_search notebook (#13484)

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The `integrations/vectorstores/matchingengine.ipynb` example has the
"Google Vertex AI Vector Search" title. This place this Title in the
wrong order in the ToC (it is sorted by the file name).
- Renamed `integrations/vectorstores/matchingengine.ipynb` into
`integrations/vectorstores/google_vertex_ai_vector_search.ipynb`.
- Updated a correspondent comment in docstring
- Rerouted old URL to a new URL

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
This commit is contained in:
Leonid Ganeline 2023-11-28 16:58:29 -08:00 committed by GitHub
parent f5326cfb4e
commit 52eee458bb
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3 changed files with 9 additions and 4 deletions
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0
docs/docs/integrations/vectorstores/matchingengine.ipynb → docs/docs/integrations/vectorstores/google_vertex_ai_vector_search.ipynb
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4
docs/vercel.json
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@ -504,6 +504,10 @@
"source": "/docs/integrations/vectorstores/async_faiss", "source": "/docs/integrations/vectorstores/async_faiss",
"destination": "/docs/integrations/vectorstores/faiss_async" "destination": "/docs/integrations/vectorstores/faiss_async"
}, },
{
"source": "/docs/integrations/vectorstores/matchingengine",
"destination": "/docs/integrations/vectorstores/google_vertex_ai_vector_search"
},
{ {
"source": "/docs/integrations/cerebriumai", "source": "/docs/integrations/cerebriumai",
"destination": "/docs/integrations/providers/cerebriumai" "destination": "/docs/integrations/providers/cerebriumai"

9
libs/langchain/langchain/vectorstores/matching_engine.py
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@ -26,7 +26,7 @@ logger = logging.getLogger()
class MatchingEngine(VectorStore): class MatchingEngine(VectorStore):
"""`Google Vertex AI Matching Engine` vector store. """`Google Vertex AI Vector Search` (previously Matching Engine) vector store.
While the embeddings are stored in the Matching Engine, the embedded While the embeddings are stored in the Matching Engine, the embedded
documents will be stored in GCS. documents will be stored in GCS.
@ -34,7 +34,7 @@ class MatchingEngine(VectorStore):
An existing Index and corresponding Endpoint are preconditions for An existing Index and corresponding Endpoint are preconditions for
using this module. using this module.
See usage in docs/modules/indexes/vectorstores/examples/matchingengine.ipynb See usage in docs/integrations/vectorstores/google_vertex_ai_vector_search.ipynb
Note that this implementation is mostly meant for reading if you are Note that this implementation is mostly meant for reading if you are
planning to do a real time implementation. While reading is a real time planning to do a real time implementation. While reading is a real time
@ -50,7 +50,8 @@ class MatchingEngine(VectorStore):
gcs_bucket_name: str, gcs_bucket_name: str,
credentials: Optional[Credentials] = None, credentials: Optional[Credentials] = None,
): ):
"""Vertex Matching Engine implementation of the vector store. """Google Vertex AI Vector Search (previously Matching Engine)
implementation of the vector store.
While the embeddings are stored in the Matching Engine, the embedded While the embeddings are stored in the Matching Engine, the embedded
documents will be stored in GCS. documents will be stored in GCS.
@ -59,7 +60,7 @@ class MatchingEngine(VectorStore):
using this module. using this module.
See usage in See usage in
docs/modules/indexes/vectorstores/examples/matchingengine.ipynb. docs/integrations/vectorstores/google_vertex_ai_vector_search.ipynb.
Note that this implementation is mostly meant for reading if you are Note that this implementation is mostly meant for reading if you are
planning to do a real time implementation. While reading is a real time planning to do a real time implementation. While reading is a real time