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JibolaJibola
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Merge pull request #39 from mongodb-labs/green-langchain
2 parents 5e19c3e + 8229302 commit 8d42e48

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‎.evergreen/config.yml

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display_name: Langchain RHEL Python
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expansions:
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DIR: langchain-python
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REPO_NAME: langchain
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CLONE_URL: https://github.com/langchain-ai/langchain.git
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REPO_NAME: langchain # TODO [PYTHON-4679] Merge change in this branch
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CLONE_URL: -b ci-on-local-atlas --single-branch https://github.com/caseyclements/langchain.git
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DATABASE: langchain_test_db
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run_on:
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- rhel87-small

‎.gitignore

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# Benchmark and test output files
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results/*
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xunit-results/
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# Miscellaneous
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.DS_Store
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‎langchain-python/database/langchain_test_chain_example.json

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[]

‎langchain-python/database/langchain_test_from_documents.json

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[]

‎langchain-python/database/langchain_test_from_texts.json

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[]

‎langchain-python/database/langchain_test_retrievers.json

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[]

‎langchain-python/indexes/langchain_test_chain_example_vector_index.json

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{
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"fields": [
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{
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"numDimensions": 1536,
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"path": "embedding",
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"similarity": "cosine",
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"type": "vector"
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}
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],
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"name": "langchain-test-chain-example-vector-index",
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"type": "vectorSearch",
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"database": "langchain_test_db",
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"collectionName": "langchain_test_chain_example"
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}

‎langchain-python/indexes/langchain_test_from_documents.json

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{
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"fields": [
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{
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"numDimensions": 5,
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"path": "embedding",
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"similarity": "cosine",
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"type": "vector"
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}
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],
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"name": "langchain-test-index-from-documents",
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"type": "vectorSearch",
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"database": "langchain_test_db",
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"collectionName": "langchain_test_from_documents"
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}

‎langchain-python/indexes/langchain_test_index_vectorstores.json

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{
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"fields": [
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{
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"numDimensions": 1536,
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"numDimensions": 5,
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"path": "embedding",
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"similarity": "cosine",
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"type": "vector"

‎langchain-python/indexes/langchain_test_retrievers_fulltext_index.json

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{
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"mappings": {
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"dynamic": false,
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"fields": {
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"text": [
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{
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"type": "string"
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}
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]
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}
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},
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"name": "text_index",
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"type": "search",
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"database": "langchain_test_db",
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"collectionName": "langchain_test_retrievers"
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}

‎langchain-python/indexes/langchain_test_retrievers_vector_index.json

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{
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"fields": [
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{
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"numDimensions": 1536,
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"path": "embedding",
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"similarity": "dotProduct",
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"type": "vector"
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},
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{
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"path": "c",
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"type": "filter"
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}
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],
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"name": "vector_index",
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"type": "vectorSearch",
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"database": "langchain_test_db",
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"collectionName": "langchain_test_retrievers"
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}

‎langchain-python/indexes/langchain_test_vectorstores_from_texts.json

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{
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"fields": [
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{
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"numDimensions": 5,
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"path": "embedding",
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"similarity": "dotProduct",
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"type": "vector"
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},
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{
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"path": "c",
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"type": "filter"
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}
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],
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"name": "langchain-test-index-from-texts",
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"type": "vectorSearch",
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"database": "langchain_test_db",
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"collectionName": "langchain_test_from_texts"
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}

‎langchain-python/run.sh

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cd libs/partners/mongodb
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$PYTHON_BINARY -m venv .
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source ./bin/activate
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$PYTHON_BINARY -m venv venv_pipeline
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source venv_pipeline/bin/activate
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pip install poetry
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poetry install --with test
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poetry lock --no-update
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poetry install --with test --with test_integration
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export MONGODB_ATLAS_URI=$(fetch_local_atlas_uri)
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export OPENAI_API_KEY=$openai_api_key
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make test
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