mirror of
https://github.com/hwchase17/langchain.git
synced 2025-07-30 00:04:19 +00:00
update RAG tutorials link to point to correct path
This commit is contained in:
parent
0e287763cd
commit
de0e4faaa6
@ -606,7 +606,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -674,7 +674,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.0"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -670,7 +670,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.0"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -358,7 +358,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -398,7 +398,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -918,7 +918,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -1015,7 +1015,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -940,7 +940,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -1091,7 +1091,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -410,7 +410,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -574,7 +574,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -671,7 +671,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -834,7 +834,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.2"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -488,7 +488,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -532,10 +532,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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@ -32,8 +32,9 @@
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]
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"id": "e006fdc593107ef5",
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"metadata": {},
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"source": [
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"```bash\n",
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"docker run --name opengauss \\\n",
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@ -42,14 +43,15 @@
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" -p 8888:5432 \\\n",
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" opengauss/opengauss-server:latest\n",
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"```"
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],
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"id": "e006fdc593107ef5"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a51b3f07b83b8a1d",
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"metadata": {},
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"source": "### Install langchain-opengauss"
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"source": [
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"### Install langchain-opengauss"
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]
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},
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{
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"cell_type": "raw",
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@ -149,7 +151,9 @@
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"cell_type": "markdown",
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"id": "c738c3e0",
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"metadata": {},
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"source": "### Update items in vector store\n"
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"source": [
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"### Update items in vector store\n"
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]
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},
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{
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"cell_type": "code",
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@ -170,7 +174,9 @@
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"cell_type": "markdown",
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"id": "dcf1b905",
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"metadata": {},
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"source": "### Delete items from vector store\n"
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"source": [
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"### Delete items from vector store\n"
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]
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},
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{
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"cell_type": "code",
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@ -216,7 +222,9 @@
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"cell_type": "markdown",
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"id": "3ed9d733",
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"metadata": {},
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"source": "If you want to execute a similarity search and receive the corresponding scores you can run:\n"
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"source": [
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"If you want to execute a similarity search and receive the corresponding scores you can run:\n"
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]
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},
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{
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"cell_type": "code",
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@ -264,7 +272,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval/)"
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]
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@ -365,7 +373,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -435,7 +435,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -467,7 +467,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -15,7 +15,6 @@
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},
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{
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"cell_type": "markdown",
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"id": "f8f2830ee9ca1e01",
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"metadata": {
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"id": "f8f2830ee9ca1e01"
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},
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@ -76,7 +75,6 @@
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "irl7eMFnSPZr",
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"metadata": {
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"id": "irl7eMFnSPZr"
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},
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@ -101,7 +99,6 @@
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},
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{
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"cell_type": "markdown",
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"id": "QuQigs4UoFQ2",
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"metadata": {
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"id": "QuQigs4UoFQ2"
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},
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@ -741,6 +738,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -761,7 +759,8 @@
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"toc_visible": true
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},
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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@ -774,9 +773,9 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.8"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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"nbformat_minor": 4
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}
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@ -342,7 +342,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -360,7 +360,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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@ -374,7 +374,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.15"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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@ -749,7 +749,7 @@
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"\n",
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"For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n",
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"\n",
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"- [Tutorials](/docs/tutorials/)\n",
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"- [Tutorials](/docs/tutorials/rag)\n",
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"- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n",
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"- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)"
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]
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@ -774,7 +774,10 @@
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"execution_count": null,
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"id": "1f11adf8",
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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@ -796,7 +799,10 @@
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"cell_type": "markdown",
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"id": "b2350093",
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"source": [
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"### Metadata\n",
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@ -866,7 +872,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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File diff suppressed because it is too large
Load Diff
@ -930,6 +930,7 @@
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},
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"source": [
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"## Related\n",
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"- Vector store [tutorials](/docs/tutorials/rag)\n",
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"- Vector store [conceptual guide](https://python.langchain.com/docs/concepts/vectorstores/)\n",
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"- Vector store [how-to guides](https://python.langchain.com/docs/how_to/#vector-stores)"
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]
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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