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6 changes: 4 additions & 2 deletions README.md
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@@ -1,5 +1,7 @@
# 🦜️🔗 LangChain IBM Watsonx
# 🦜️🔗 LangChain IBM

This repository contains 1 package with IBM integrations with LangChain:
This repository contains 2 package with IBM integrations with LangChain:

- [langchain-ibm](https://pypi.org/project/langchain-ibm/) integrates [IBM Watsonx](https://www.ibm.com/watsonx).

- [langchain-db2](https://pypi.org/project/langchain-db2/)(will be uploaded very soon) integrates IBM Db2 database vector store and vector search.
1 change: 1 addition & 0 deletions libs/langchain-db2/.gitignore
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__pycache__
21 changes: 21 additions & 0 deletions libs/langchain-db2/LICENSE
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MIT License

Copyright (c) 2024 LangChain, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
64 changes: 64 additions & 0 deletions libs/langchain-db2/Makefile
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.PHONY: all format lint test tests integration_tests docker_tests help extended_tests

# Default target executed when no arguments are given to make.
all: help

# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_test integration_tests: TEST_FILE = tests/integration_tests/


# unit tests are run with the --disable-socket flag to prevent network calls
test tests:
poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE)

test_watch:
poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE)

# integration tests are run without the --disable-socket flag to allow network calls
integration_test integration_tests:
poetry run pytest $(TEST_FILE)

######################
# LINTING AND FORMATTING
######################

# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/db2 --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langchain_db2
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test

lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)

format format_diff:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)

spell_check:
poetry run codespell --toml pyproject.toml

spell_fix:
poetry run codespell --toml pyproject.toml -w

check_imports: $(shell find langchain_db2 -name '*.py')
poetry run python ./scripts/check_imports.py $^

######################
# HELP
######################

help:
@echo '----'
@echo 'check_imports - check imports'
@echo 'format - run code formatters'
@echo 'lint - run linters'
@echo 'test - run unit tests'
@echo 'tests - run unit tests'
@echo 'test TEST_FILE=<test_file> - run all tests in file'
12 changes: 12 additions & 0 deletions libs/langchain-db2/README.md
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# langchain-db2

This package contains the LangChain integration with the connector to Db2 vector store. This will allow user to leverage the vector store and vector search ablility of the IBM Db2 relational datebase.

## Installation

```bash
pip install -U langchain-db2
```

See more details of how to use it in the Jupyter Notebook: langchain-db2/docs/db2.ipynb

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