langchain/libs/partners/pinecone/langchain_pinecone/__init__.py

from langchain_pinecone.embeddings import PineconeEmbeddings
from langchain_pinecone.vectorstores import Pinecone, PineconeVectorStore

__all__ = [
    "PineconeEmbeddings",
    "PineconeVectorStore",
    "Pinecone",
]
pinecone: Add embedding Inference Support (#24515) Description Add support for Pinecone hosted embedding models as `PineconeEmbeddings`. Replacement for #22890 Dependencies Add `aiohttp` to support async embeddings call against REST directly - [x] Add tests and docs: If you're adding a new integration, please include Added `docs/docs/integrations/text_embedding/pinecone.ipynb` - [x] 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/ Twitter: `gdjdg17` --------- Co-authored-by: Erick Friis <erick@langchain.dev> 2024-07-23 22:50:28 +00:00			`from langchain_pinecone.embeddings import PineconeEmbeddings`
pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 16:24:08 +00:00			`from langchain_pinecone.vectorstores import Pinecone, PineconeVectorStore`
pinecone: init pkg (#16556) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> 2024-02-05 19:55:01 +00:00
			`__all__ = [`
pinecone: Add embedding Inference Support (#24515) Description Add support for Pinecone hosted embedding models as `PineconeEmbeddings`. Replacement for #22890 Dependencies Add `aiohttp` to support async embeddings call against REST directly - [x] Add tests and docs: If you're adding a new integration, please include Added `docs/docs/integrations/text_embedding/pinecone.ipynb` - [x] 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/ Twitter: `gdjdg17` --------- Co-authored-by: Erick Friis <erick@langchain.dev> 2024-07-23 22:50:28 +00:00			`"PineconeEmbeddings",`
pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 2024-02-22 16:24:08 +00:00			`"PineconeVectorStore",`
pinecone: init pkg (#16556) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> 2024-02-05 19:55:01 +00:00			`"Pinecone",`
			`]`