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PYTHON-4680 Make llama-index use local atlas #36

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PYTHON-4680 Make llama-index use local atlas #36

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3 changes: 2 additions & 1 deletion .evergreen/scaffold_atlas.py
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Original file line number Diff line number Diff line change
Expand Up @@ -103,7 +103,8 @@ def generate_collections(database: Database, collection_jsons: list[Path]) -> No


def generate_indexes(client: MongoClient, index_jsons: list[Path]) -> None:
"""_summary_
"""Generate Search or VectorSearch indexes based on the index_json provided
TODO: **Improve Documentation to include Local Atlas JSON configuration requirements*

Args:
client (MongoClient): MongoClient
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16 changes: 16 additions & 0 deletions llama-index-python-vectorstore/indexes/fulltext_index.json
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@@ -0,0 +1,16 @@
{
"mappings": {
"dynamic": false,
"fields": {
"text": [
{
"type": "string"
}
]
}
},
"name": "fulltext_index",
"type": "search",
"database": "llama_index_test_db",
"collectionName": "llama_index_test_vectorstore"
}
4 changes: 4 additions & 0 deletions llama-index-python-vectorstore/indexes/vector_index.json
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Expand Up @@ -5,6 +5,10 @@
"path": "embedding",
"similarity": "cosine",
"type": "vector"
},
{
"path": "metadata.text",
"type": "filter"
}
],
"name": "vector_index",
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2 changes: 1 addition & 1 deletion llama-index-python-vectorstore/run.sh
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Expand Up @@ -22,8 +22,8 @@ $PYTHON_BINARY -m poetry lock --no-update
$PYTHON_BINARY -m poetry install --with dev

# Run tests. Sensitive variables in Evergreen come from Evergreen project: ai-ml-pipeline-testing/
MONGODB_URI=$(fetch_local_atlas_uri) \
OPENAI_API_KEY=$openai_api_key \
MONGODB_URI=$llama_index_mongodb_uri \
MONGODB_DATABASE="llama_index_test_db" \
MONGODB_COLLECTION="llama_index_test_vectorstore" \
MONGODB_INDEX="vector_index" \
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