mirror of
https://github.com/hwchase17/langchain.git
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docs: fix milvus import and update template (#22306)
docs: fix milvus import problem update milvus-rag template with milvus-lite Signed-off-by: ChengZi <chen.zhang@zilliz.com>
This commit is contained in:
parent
86698b02a9
commit
2443e85533
@ -20,7 +20,7 @@
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"\n",
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"I have used the cloud version of Milvus, thus I need `uri` and `token` as well.\n",
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"\n",
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"NOTE: The self-query retriever requires you to have `lark` installed (`pip install lark`). We also need the `pymilvus` package."
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"NOTE: The self-query retriever requires you to have `lark` installed (`pip install lark`). We also need the `langchain_milvus` package."
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]
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},
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{
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@ -29,16 +29,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet lark"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet pymilvus"
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"%pip install --upgrade --quiet lark langchain_milvus"
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]
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},
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{
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@ -67,8 +58,8 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain_community.vectorstores import Milvus\n",
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"from langchain_core.documents import Document\n",
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"from langchain_milvus.vectorstores import Milvus\n",
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"from langchain_openai import OpenAIEmbeddings\n",
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"\n",
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"embeddings = OpenAIEmbeddings()"
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@ -388,4 +379,4 @@
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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}
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@ -23,7 +23,7 @@
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},
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet pymilvus"
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"%pip install --upgrade --quiet langchain_milvus"
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]
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},
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{
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@ -67,7 +67,7 @@
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"outputs": [],
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"source": [
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"from langchain_community.document_loaders import TextLoader\n",
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"from langchain_community.vectorstores import Milvus\n",
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"from langchain_milvus.vectorstores import Milvus\n",
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"from langchain_openai import OpenAIEmbeddings\n",
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"from langchain_text_splitters import CharacterTextSplitter"
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]
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@ -10,7 +10,7 @@ pip install -U langchain-milvus
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## Milvus vector database
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See a [usage example](https://python.langchain.com/docs/integrations/vectorstores/milvus/)
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See a [usage example](https://python.langchain.com/v0.2/docs/integrations/vectorstores/milvus/)
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```python
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from langchain_milvus import Milvus
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@ -18,7 +18,7 @@ from langchain_milvus import Milvus
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## Milvus hybrid search
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See a [usage example](https://python.langchain.com/docs/integrations/retrievers/milvus_hybrid_search/).
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See a [usage example](https://python.langchain.com/v0.2/docs/integrations/retrievers/milvus_hybrid_search/).
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```python
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from langchain_milvus import MilvusCollectionHybridSearchRetriever
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@ -27,7 +27,7 @@ from langchain_milvus import MilvusCollectionHybridSearchRetriever
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## Zilliz Cloud vector database
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See a [usage example](https://python.langchain.com/docs/integrations/vectorstores/zilliz/).
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See a [usage example](https://python.langchain.com/v0.2/docs/integrations/vectorstores/zilliz/).
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```python
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from langchain_milvus import Zilliz
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@ -35,7 +35,7 @@ from langchain_milvus import Zilliz
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## Zilliz Cloud Pipeline Retriever
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See a [usage example](https://python.langchain.com/docs/integrations/retrievers/zilliz_cloud_pipeline).
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See a [usage example](https://python.langchain.com/v0.2/docs/integrations/retrievers/zilliz_cloud_pipeline/).
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```python
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from langchain_milvus import ZillizCloudPipelineRetriever
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templates/rag-milvus/poetry.lock
generated
365
templates/rag-milvus/poetry.lock
generated
@ -145,63 +145,6 @@ doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-
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test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
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trio = ["trio (<0.22)"]
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[[package]]
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name = "argon2-cffi"
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version = "23.1.0"
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description = "Argon2 for Python"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"},
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{file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"},
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]
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[package.dependencies]
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argon2-cffi-bindings = "*"
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[package.extras]
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dev = ["argon2-cffi[tests,typing]", "tox (>4)"]
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docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"]
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tests = ["hypothesis", "pytest"]
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typing = ["mypy"]
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[[package]]
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name = "argon2-cffi-bindings"
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version = "21.2.0"
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description = "Low-level CFFI bindings for Argon2"
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"},
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{file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f"},
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{file = "argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93"},
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{file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f"},
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{file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5"},
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{file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"},
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{file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7"},
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{file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583"},
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{file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d"},
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{file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670"},
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{file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"},
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{file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"},
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]
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[package.dependencies]
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cffi = ">=1.0.1"
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[package.extras]
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dev = ["cogapp", "pre-commit", "pytest", "wheel"]
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tests = ["pytest"]
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[[package]]
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name = "async-timeout"
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version = "4.0.3"
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@ -232,45 +175,6 @@ tests = ["attrs[tests-no-zope]", "zope-interface"]
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tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
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tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
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[[package]]
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name = "azure-core"
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version = "1.30.1"
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description = "Microsoft Azure Core Library for Python"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"},
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{file = "azure_core-1.30.1-py3-none-any.whl", hash = "sha256:7c5ee397e48f281ec4dd773d67a0a47a0962ed6fa833036057f9ea067f688e74"},
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]
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[package.dependencies]
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requests = ">=2.21.0"
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six = ">=1.11.0"
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typing-extensions = ">=4.6.0"
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[package.extras]
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aio = ["aiohttp (>=3.0)"]
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[[package]]
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name = "azure-storage-blob"
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version = "12.19.1"
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description = "Microsoft Azure Blob Storage Client Library for Python"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "azure-storage-blob-12.19.1.tar.gz", hash = "sha256:13e16ba42fc54ac2c7e8f976062173a5c82b9ec0594728e134aac372965a11b0"},
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{file = "azure_storage_blob-12.19.1-py3-none-any.whl", hash = "sha256:c5530dc51c21c9564e4eb706cd499befca8819b10dd89716d3fc90d747556243"},
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]
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[package.dependencies]
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azure-core = ">=1.28.0,<2.0.0"
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cryptography = ">=2.1.4"
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isodate = ">=0.6.1"
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typing-extensions = ">=4.3.0"
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[package.extras]
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aio = ["azure-core[aio] (>=1.28.0,<2.0.0)"]
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[[package]]
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name = "certifi"
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version = "2024.2.2"
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@ -282,70 +186,6 @@ files = [
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{file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
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]
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[[package]]
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name = "cffi"
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version = "1.16.0"
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description = "Foreign Function Interface for Python calling C code."
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optional = false
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python-versions = ">=3.8"
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files = [
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[package.dependencies]
|
||||
pycparser = "*"
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||||
|
||||
[[package]]
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||||
name = "charset-normalizer"
|
||||
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|
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[[package]]
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name = "cryptography"
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||||
version = "42.0.5"
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||||
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
|
||||
optional = false
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||||
python-versions = ">=3.7"
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files = [
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|
||||
|
||||
[package.dependencies]
|
||||
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|
||||
|
||||
[package.extras]
|
||||
docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
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||||
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|
||||
nox = ["nox"]
|
||||
pep8test = ["check-sdist", "click", "mypy", "ruff"]
|
||||
sdist = ["build"]
|
||||
ssh = ["bcrypt (>=3.1.5)"]
|
||||
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|
||||
test-randomorder = ["pytest-randomly"]
|
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|
||||
[[package]]
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@ -927,20 +713,6 @@ files = [
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{file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
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[[package]]
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||||
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|
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[package.dependencies]
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "jsonpatch"
|
||||
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|
||||
@ -1200,23 +972,17 @@ files = [
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||||
]
|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
|
||||
[package.dependencies]
|
||||
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|
||||
certifi = "*"
|
||||
pycryptodome = "*"
|
||||
typing-extensions = "*"
|
||||
urllib3 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "multidict"
|
||||
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|
||||
@ -1545,106 +1311,6 @@ files = [
|
||||
{file = "protobuf-5.26.1.tar.gz", hash = "sha256:8ca2a1d97c290ec7b16e4e5dff2e5ae150cc1582f55b5ab300d45cb0dfa90e51"},
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "pyarrow"
|
||||
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|
||||
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|
||||
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|
||||
python-versions = ">=3.8"
|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
@ -1772,29 +1438,28 @@ windows-terminal = ["colorama (>=0.4.6)"]
|
||||
|
||||
[[package]]
|
||||
name = "pymilvus"
|
||||
version = "2.4.0"
|
||||
version = "2.4.3"
|
||||
description = "Python Sdk for Milvus"
|
||||
optional = false
|
||||
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|
||||
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||||
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|
||||
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||||
|
||||
[package.dependencies]
|
||||
azure-storage-blob = "*"
|
||||
environs = "<=9.5.0"
|
||||
grpcio = ">=1.49.1,<=1.60.0"
|
||||
minio = ">=7.0.0"
|
||||
grpcio = ">=1.49.1,<=1.63.0"
|
||||
milvus-lite = ">=2.4.0,<2.5.0"
|
||||
numpy = {version = "<1.25.0", markers = "python_version <= \"3.8\""}
|
||||
pandas = ">=1.2.4"
|
||||
protobuf = ">=3.20.0"
|
||||
pyarrow = ">=12.0.0"
|
||||
requests = "*"
|
||||
setuptools = ">=67"
|
||||
ujson = ">=2.0.0"
|
||||
|
||||
[package.extras]
|
||||
bulk-writer = ["azure-storage-blob", "minio (>=7.0.0)", "pyarrow (>=12.0.0)", "requests"]
|
||||
dev = ["black", "grpcio (==1.62.2)", "grpcio-testing (==1.62.2)", "grpcio-tools (==1.62.2)", "pytest (>=5.3.4)", "pytest-cov (>=2.8.1)", "pytest-timeout (>=1.3.4)", "ruff (>0.4.0)"]
|
||||
model = ["milvus-model (>=0.1.0)"]
|
||||
|
||||
[[package]]
|
||||
@ -2618,4 +2283,4 @@ multidict = ">=4.0"
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
content-hash = "e184bab7c13245b660890fcac2dfe03a38296251a832daf1ace8478ccb95c694"
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content-hash = "4b2f03de1a299d1cd5aa42632d68be0d4bb3bb2f5d89ed6fde5931b3df1e0579"
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||||
|
@ -1,6 +1,6 @@
|
||||
[tool.poetry]
|
||||
name = "rag-milvus"
|
||||
version = "0.1.0"
|
||||
version = "0.1.1"
|
||||
description = "RAG using Milvus"
|
||||
authors = []
|
||||
readme = "README.md"
|
||||
@ -11,7 +11,7 @@ langchain = "^0.1"
|
||||
langchain-core = "^0.1"
|
||||
langchain-openai = "^0.1"
|
||||
langchain-community = "^0.0.30"
|
||||
pymilvus = "^2.4"
|
||||
pymilvus = "^2.4.3"
|
||||
scipy = "^1.9"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
|
@ -1,12 +1,23 @@
|
||||
from langchain_community.vectorstores import Milvus
|
||||
from langchain_core.output_parsers import StrOutputParser
|
||||
from langchain_core.prompts import ChatPromptTemplate
|
||||
from langchain_core.pydantic_v1 import BaseModel
|
||||
from langchain_core.runnables import RunnableParallel, RunnablePassthrough
|
||||
from langchain_milvus.vectorstores import Milvus
|
||||
from langchain_openai import ChatOpenAI, OpenAIEmbeddings
|
||||
|
||||
# Example for document loading (from url), splitting, and creating vectorstore
|
||||
|
||||
# Setting the URI as a local file, e.g.`./milvus.db`, is the most convenient method,
|
||||
# as it automatically utilizes Milvus Lite to store all data in this file.
|
||||
#
|
||||
# If you have large scale of data such as more than a million docs,
|
||||
# we recommend setting up a more performant Milvus server on docker or kubernetes.
|
||||
# (https://milvus.io/docs/quickstart.md)
|
||||
# When using this setup, please use the server URI,
|
||||
# e.g.`http://localhost:19530`, as your URI.
|
||||
|
||||
URI = "./milvus.db"
|
||||
|
||||
"""
|
||||
# Load
|
||||
from langchain_community.document_loaders import WebBaseLoader
|
||||
@ -25,6 +36,7 @@ vectorstore = Milvus.from_documents(documents=all_splits,
|
||||
collection_name="rag_milvus",
|
||||
embedding=OpenAIEmbeddings(),
|
||||
drop_old=True,
|
||||
connection_args={"uri": URI},
|
||||
)
|
||||
retriever = vectorstore.as_retriever()
|
||||
"""
|
||||
@ -35,9 +47,7 @@ vectorstore = Milvus.from_texts(
|
||||
collection_name="rag_milvus",
|
||||
embedding=OpenAIEmbeddings(),
|
||||
drop_old=True,
|
||||
connection_args={
|
||||
"uri": "http://127.0.0.1:19530",
|
||||
},
|
||||
connection_args={"uri": URI},
|
||||
)
|
||||
retriever = vectorstore.as_retriever()
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user