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docs: Update mongodb README.md (#24412)
Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
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@ -6,7 +6,6 @@ pip install -U langchain-mongodb
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```
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```
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# Usage
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# Usage
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- See [integrations doc](../../../docs/docs/integrations/providers/mongodb_atlas.ipynb) for more in-depth usage instructions.
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- See [Getting Started with the LangChain Integration](https://www.mongodb.com/docs/atlas/atlas-vector-search/ai-integrations/langchain/#get-started-with-the-langchain-integration) for a walkthrough on using your first LangChain implementation with MongoDB Atlas.
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- See [Getting Started with the LangChain Integration](https://www.mongodb.com/docs/atlas/atlas-vector-search/ai-integrations/langchain/#get-started-with-the-langchain-integration) for a walkthrough on using your first LangChain implementation with MongoDB Atlas.
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## Using MongoDBAtlasVectorSearch
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## Using MongoDBAtlasVectorSearch
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@ -37,4 +36,4 @@ vector_search_2 = MongoDBAtlasVectorSearch(
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embeddings=OpenAIEmbeddings(disallowed_special=()),
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embeddings=OpenAIEmbeddings(disallowed_special=()),
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index_name=ATLAS_VECTOR_SEARCH_INDEX_NAME,
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index_name=ATLAS_VECTOR_SEARCH_INDEX_NAME,
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)
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)
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```
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```
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