Remove ChromaDBs

langchain-ai · Dec 5, 2023 · 13e8f0f · 13e8f0f
1 parent 758792a
commit 13e8f0f
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Showing 6 changed files with 15 additions and 359 deletions.
diff --git a/libs/core/langchain_core/stores.py b/libs/core/langchain_core/stores.py
@@ -2,7 +2,7 @@
 from typing import Generic, Iterator, List, Optional, Sequence, Tuple, TypeVar, Union
 
 K = TypeVar("K")
-V = TypeVar("V", covariant=True)
+V = TypeVar("V")
 
 
 class BaseStore(Generic[K, V], ABC):
@@ -51,6 +51,3 @@ def yield_keys(
             This method is allowed to return an iterator over either K or str
             depending on what makes more sense for the given store.
         """
-
-
-ByteStore = BaseStore[str, bytes]
diff --git a/poetry.lock b/poetry.lock
diff --git a/pyproject.toml b/pyproject.toml
@@ -42,7 +42,6 @@ codespell = "^2.2.0"
 langchain-core = { path = "libs/core/", develop = true }
 langchain = { path = "libs/langchain/", develop = true }
 langchain-experimental = { path = "libs/experimental/", develop = true }
-langchain-cli = ">=0.0.15"
 
 [tool.poetry.group.test.dependencies]
 

diff --git a/templates/rag-chroma-multi-modal/README.md b/templates/rag-chroma-multi-modal/README.md
@@ -26,7 +26,7 @@ You can select different options (see results [here](https://github.com/mlfounda
 
 The first time you run the app, it will automatically download the multimodal embedding model.
 
-By default, LangChain will use an embedding model with strong performance, `ViT-H-14`.
+By default, LangChain will use an embedding model with reasonably strong performance, `ViT-H-14`.
 
 You can choose alternative `OpenCLIPEmbeddings` models in `rag_chroma_multi_modal/ingest.py`:
 ```

diff --git a/templates/rag-chroma-multi-modal/chroma_db_multi_modal/chroma.sqlite3 b/templates/rag-chroma-multi-modal/chroma_db_multi_modal/chroma.sqlite3
diff --git a/templates/rag-chroma-multi-modal/rag_chroma_multi_modal/chroma_db_multi_modal/chroma.sqlite3 b/templates/rag-chroma-multi-modal/rag_chroma_multi_modal/chroma_db_multi_modal/chroma.sqlite3