mirror of
https://github.com/hwchase17/langchain.git
synced 2025-06-03 05:34:01 +00:00
pinecone[patch]: release 0.0.2rc0, remove simsimd dep (#17469)
This commit is contained in:
Erick Friis
GitHub
parent
065cde69b1
commit
10bdf2422c
@ -2,7 +2,6 @@ from enum import Enum
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from typing import List, Union
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import numpy as np
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import simsimd # type: ignore
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Matrix = Union[List[List[float]], List[np.ndarray], np.ndarray]
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@ -62,10 +61,20 @@ def cosine_similarity(X: Matrix, Y: Matrix) -> np.ndarray:
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f"Number of columns in X and Y must be the same. X has shape {X.shape} "
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f"and Y has shape {Y.shape}."
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)
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try:
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import simsimd as simd # type: ignore
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X = np.array(X, dtype=np.float32)
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Y = np.array(Y, dtype=np.float32)
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Z = 1 - simsimd.cdist(X, Y, metric="cosine")
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if isinstance(Z, float):
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return np.array([Z])
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return Z
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X = np.array(X, dtype=np.float32)
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Y = np.array(Y, dtype=np.float32)
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Z = 1 - simd.cdist(X, Y, metric="cosine")
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if isinstance(Z, float):
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return np.array([Z])
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return Z
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except ImportError:
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X_norm = np.linalg.norm(X, axis=1)
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Y_norm = np.linalg.norm(Y, axis=1)
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# Ignore divide by zero errors run time warnings as those are handled below.
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with np.errstate(divide="ignore", invalid="ignore"):
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similarity = np.dot(X, Y.T) / np.outer(X_norm, Y_norm)
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similarity[np.isnan(similarity) | np.isinf(similarity)] = 0.0
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return similarity
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50
libs/partners/pinecone/poetry.lock
generated
50
libs/partners/pinecone/poetry.lock
generated
@ -318,7 +318,7 @@ files = [
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[[package]]
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name = "langchain-core"
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version = "0.1.17"
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version = "0.1.22"
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description = "Building applications with LLMs through composability"
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optional = false
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python-versions = ">=3.8.1,<4.0"
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@ -328,7 +328,7 @@ develop = true
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[package.dependencies]
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anyio = ">=3,<5"
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jsonpatch = "^1.33"
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langsmith = ">=0.0.83,<0.1"
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langsmith = "^0.0.87"
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packaging = "^23.2"
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pydantic = ">=1,<3"
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PyYAML = ">=5.3"
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@ -361,13 +361,13 @@ tiktoken = ">=0.5.2,<0.6.0"
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[[package]]
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name = "langsmith"
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version = "0.0.83"
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version = "0.0.87"
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description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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optional = false
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python-versions = ">=3.8.1,<4.0"
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files = [
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{file = "langsmith-0.0.83-py3-none-any.whl", hash = "sha256:a5bb7ac58c19a415a9d5f51db56dd32ee2cd7343a00825bbc2018312eb3d122a"},
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{file = "langsmith-0.0.83.tar.gz", hash = "sha256:94427846b334ad9bdbec3266fee12903fe9f5448f628667689d0412012aaf392"},
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{file = "langsmith-0.0.87-py3-none-any.whl", hash = "sha256:8903d3811b9fc89eb18f5961c8e6935fbd2d0f119884fbf30dc70b8f8f4121fc"},
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{file = "langsmith-0.0.87.tar.gz", hash = "sha256:36c4cc47e5b54be57d038036a30fb19ce6e4c73048cd7a464b8f25b459694d34"},
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]
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[package.dependencies]
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@ -972,42 +972,6 @@ files = [
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{file = "ruff-0.1.14.tar.gz", hash = "sha256:ad3f8088b2dfd884820289a06ab718cde7d38b94972212cc4ba90d5fbc9955f3"},
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]
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[[package]]
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name = "simsimd"
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version = "3.6.3"
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description = "Fastest SIMD-Accelerated Vector Similarity Functions for x86 and Arm"
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optional = false
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python-versions = "*"
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files = [
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{file = "simsimd-3.6.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:107bce051ce8400873c12581502f904a1065f2c2c33b014d78b404a766790d25"},
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{file = "simsimd-3.6.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5418ab23eeda2ab5fe8bb51ee02013e9fa382ee595a7836c204117ed648ed6ff"},
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{file = "simsimd-3.6.3-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:5d97b5676936bb82db2a0d829c3da23d8c496d965a889f493bb1c34b8f06ed25"},
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{file = "simsimd-3.6.3-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:9dcfaa380dff710a74b252796475942a40d87b58917b3e48aa69e6a478e306f0"},
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{file = "simsimd-3.6.3-cp310-cp310-win_amd64.whl", hash = "sha256:f7608db9712864f6405c9fa6475c8f56ca357d1b76d18e2b24186970312e5bbd"},
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{file = "simsimd-3.6.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:81ac4252ef3f7c7a43b65041d590953cd4a3b62a94f582e0febcd6c830430f7b"},
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{file = "simsimd-3.6.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9bf67762caeceb2340ca73ffe3d2a386b8841288e76ad6964f6c87a6e0fad648"},
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{file = "simsimd-3.6.3-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:e3809a0d4430d8d5c9bae1c6d418f2356423ef497e891d71902fb759d9d9e1ef"},
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{file = "simsimd-3.6.3-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:e31608e25c80406620174ade45a07fe0af67520352c0e8f16ca4b59488ea97cd"},
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{file = "simsimd-3.6.3-cp311-cp311-win_amd64.whl", hash = "sha256:7400f2549a58744c0c61dd62532686fc40bee49efcbfb5ec163fd942a3d00c09"},
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{file = "simsimd-3.6.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:56dbc4726ce2a07ae2b9f9121784d60944d1f980d8eca086c6c2e152ecc3c389"},
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{file = "simsimd-3.6.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:07138cec69335960b202850f4c92419f2f9316bc4bf3995ba36935043c450527"},
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{file = "simsimd-3.6.3-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:e2d2a7661d364928e7bdf45524e793df04b8f5114b112400310f9c84996b3537"},
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{file = "simsimd-3.6.3-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:6dc612fcef38ca0e5d6dec26f9d4e254b2f86692344cb929195f8c3bc0178e9c"},
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{file = "simsimd-3.6.3-cp312-cp312-win_amd64.whl", hash = "sha256:9dd142ce8d8e3191a6229cd69d571b32f3f9859cac5236013942a8d090e1e0ef"},
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{file = "simsimd-3.6.3-cp36-cp36m-win_amd64.whl", hash = "sha256:a6a34de7067fea77f60a8e88ff572ad017e664c58811c36107c62ad82d73cbad"},
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{file = "simsimd-3.6.3-cp37-cp37m-win_amd64.whl", hash = "sha256:f32724f8128220bb6d296dede90db5473ed1e0c51d62ebbac8e9d76faa1956ec"},
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{file = "simsimd-3.6.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:739d0c145d9f1127cec1206e20f57dfeb65e6f541614305ff3d247516a4f323e"},
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{file = "simsimd-3.6.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bf631d942985d2e60f2fcc81b3030f45e6e19c38d91d6c8d849aefcf5505723e"},
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{file = "simsimd-3.6.3-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:0cb9932f8ca0a9a375baf593e4e6ec3ee4c91bf9ff4e7d6905efbc93954365df"},
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{file = "simsimd-3.6.3-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:882b5a9c900de57c33cfcb0dc5584ccd5f70cea87ad2ac5365b1548ede7e6dda"},
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{file = "simsimd-3.6.3-cp38-cp38-win_amd64.whl", hash = "sha256:87b2761ac7b0264e4dfefdb4cf0a725cd0c349a6c480cf39f0cdb9741487f78b"},
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{file = "simsimd-3.6.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1efee420355204798eb44f6355f7447b76a3d1941357620cb2187170e6e397e6"},
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{file = "simsimd-3.6.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c54dfa652438f96ca0b75ca2d0ac4c241d5f4aa9a9d4da5a0b633ecee607cac9"},
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{file = "simsimd-3.6.3-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:a5170a2865391138cafa1aa5084082a450c0041fcd9efd8df8e82df82956491a"},
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{file = "simsimd-3.6.3-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:a738662bb8c45792fda624ba51d0e6a02fb3750b3339c18fbb31b7f44ac7d6d2"},
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{file = "simsimd-3.6.3-cp39-cp39-win_amd64.whl", hash = "sha256:54306a63ffdea756f28c3085330462d739ed46c5a36d827473bbd711557c37d3"},
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]
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[[package]]
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name = "six"
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version = "1.16.0"
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@ -1209,5 +1173,5 @@ watchmedo = ["PyYAML (>=3.10)"]
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[metadata]
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lock-version = "2.0"
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python-versions = ">=3.8.1,<4.0"
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content-hash = "9b38ca11dda09f4e7c1456e73ca69585b017cfd811ad9e50653f58d5bc94cf90"
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python-versions = ">=3.8.1,<3.13"
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content-hash = "e12831055a5ebb19af506df742ac22c57c80684145e3a35e6ae82c848150c676"
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@ -1,6 +1,6 @@
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[tool.poetry]
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name = "langchain-pinecone"
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version = "0.0.1"
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version = "0.0.2rc0"
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description = "An integration package connecting Pinecone and LangChain"
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authors = []
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readme = "README.md"
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@ -11,10 +11,10 @@ license = "MIT"
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"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/pinecone"
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[tool.poetry.dependencies]
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python = ">=3.8.1,<4.0"
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langchain-core = ">=0.0.12"
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pinecone-client = { version = "^3", python = ">=3.8,<3.13" }
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simsimd = "^3.6.3"
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# <3.13 is due to restriction in pinecone-client package
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python = ">=3.8.1,<3.13"
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langchain-core = "^0.1"
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pinecone-client = { version = "^3" }
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numpy = "^1"
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[tool.poetry.group.test]
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