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docs: Fix minor issues in NVIDIA RAG canonical template (#16189)

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- **Description:** Fixes a few issues in NVIDIAcanonical RAG template's
README, and adds a notebook for the template
- **Dependencies:** Adds the pypdf dependency which is needed for
ingestion, and updates the lock file

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
pull/16199/head^2
Sagar B Manjunath 4 months ago committed by GitHub
parent 881d1c3ec5
commit 63e2acc964
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
4 changed files with 92 additions and 8 deletions
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12
templates/nvidia-rag-canonical/README.md
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@ -45,16 +45,16 @@ langchain app add nvidia-rag-canonical
And add the following code to your `server.py` file:
```python
from nvidia_rag_canonical import chain as rag_nvidia_chain
from nvidia_rag_canonical import chain as nvidia_rag_canonical_chain
add_routes(app, rag_nvidia_chain, path="/nvidia-rag")
add_routes(app, nvidia_rag_canonical_chain, path="/nvidia-rag-canonical")
```
If you want to set up an ingestion pipeline, you can add the following code to your `server.py` file:
```python
from rag_nvidia_canonical import ingest as rag_nvidia_ingest
from nvidia_rag_canonical import ingest as nvidia_rag_ingest
add_routes(app, rag_nvidia_ingest, path="/nvidia-rag-ingest")
add_routes(app, nvidia_rag_ingest, path="/nvidia-rag-ingest")
```
Note that for files ingested by the ingestion API, the server will need to be restarted for the newly ingested files to be accessible by the retriever.
@ -84,14 +84,14 @@ This will start the FastAPI app with a server is running locally at
[http://localhost:8000](http://localhost:8000)
We can see all templates at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs)
We can access the playground at [http://127.0.0.1:8000/nvidia-rag/playground](http://127.0.0.1:8000/nvidia-rag/playground)
We can access the playground at [http://127.0.0.1:8000/nvidia-rag-canonical/playground](http://127.0.0.1:8000/nvidia-rag-canonical/playground)
We can access the template from code with:
```python
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/nvidia-rag")
runnable = RemoteRunnable("http://localhost:8000/nvidia-rag-canonical")
```

52
templates/nvidia-rag-canonical/nvidia_rag_canonical.ipynb
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@ -0,0 +1,52 @@
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"id": "681a5d1e",
"metadata": {},
"source": [
"## Connect to template\n",
"\n",
"In `server.py`, set -\n",
"```\n",
"add_routes(app, nvidia_rag_canonical_chain, path=\"/nvidia_rag_canonical\")\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d774be2a",
"metadata": {},
"outputs": [],
"source": [
"from langserve.client import RemoteRunnable\n",
"\n",
"rag_app = RemoteRunnable(\"http://0.0.0.0:8000/nvidia_rag_canonical\")\n",
"rag_app.invoke(\"How many Americans receive Social Security Benefits?\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

35
templates/nvidia-rag-canonical/poetry.lock generated
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@ -1337,8 +1337,8 @@ files = [
[package.dependencies]
numpy = [
{version = ">=1.20.3", markers = "python_version < \"3.10\""},
{version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
{version = ">=1.23.2", markers = "python_version >= \"3.11\""},
{version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
]
python-dateutil = ">=2.8.2"
pytz = ">=2020.1"
@ -1660,6 +1660,27 @@ pyarrow = ">=12.0.0"
requests = "*"
ujson = ">=2.0.0"
[[package]]
name = "pypdf"
version = "3.17.4"
description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
optional = false
python-versions = ">=3.6"
files = [
{file = "pypdf-3.17.4-py3-none-any.whl", hash = "sha256:6aa0f61b33779b64486de3f42835d3668badd48dac4a536aeb87da187a5eacd2"},
{file = "pypdf-3.17.4.tar.gz", hash = "sha256:ec96e2e4fc9648ac609d19c00d41e9d606e0ae2ce5a0bbe7691426f5f157166a"},
]
[package.dependencies]
typing_extensions = {version = ">=3.7.4.3", markers = "python_version < \"3.10\""}
[package.extras]
crypto = ["PyCryptodome", "cryptography"]
dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "pytest-socket", "pytest-timeout", "pytest-xdist", "wheel"]
docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
image = ["Pillow (>=8.0.0)"]
[[package]]
name = "python-dateutil"
version = "2.8.2"
@ -1711,6 +1732,7 @@ files = [
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@ -1718,8 +1740,15 @@ files = [
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{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
{file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
{file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
{file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
{file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
@ -1736,6 +1765,7 @@ files = [
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
{file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
@ -1743,6 +1773,7 @@ files = [
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{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@ -2255,4 +2286,4 @@ multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "f5c0f88fe09baa6cb1ea4cf9d615e98efa3081fbccfc03688f1e2fbcf42273dd"
content-hash = "aa7dec65825e265779c9f00b10ffe8f34c96b25e8385e9e5235b89c411345a00"

1
templates/nvidia-rag-canonical/pyproject.toml
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@ -10,6 +10,7 @@ python = ">=3.8.1,<4.0"
langchain = "^0.1"
pymilvus = ">=2.3.0"
langchain-nvidia-aiplay = "^0.0.2"
pypdf = ">=3.1"
[tool.poetry.group.dev.dependencies]
langchain-cli = ">=0.0.20"

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