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Bump langchain versions (#584)
* Bump langchain versions * Use langchain GraphVectorStore * Pin ragstack-langchain version in notebook * Restore integration_tests/test_graph_store.py * Update extractor tests * Bump versions again to get LangChain extractors * Remove reimports
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libs/e2e-tests/pyproject.llamaindex.toml

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@@ -42,9 +42,9 @@ llama-index-multi-modal-llms-gemini = { git = "https://github.com/run-llama/llam
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llama-parse = { git = "https://github.com/run-llama/llama_parse.git", branch = "main" }
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langchain = "0.2.5"
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langchain-core = "0.2.9"
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langchain-community = "0.2.5"
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langchain = "0.2.10"
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langchain-core = "0.2.22"
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langchain-community = "0.2.9"
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langchain-astradb = "0.3.3"
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langchain-openai = "0.1.8"
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langchain-google-genai = { version = "1.0.6" }

libs/knowledge-store/notebooks/astra_support.ipynb

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"outputs": [],
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"source": [
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"%pip install -q \\\n",
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" ragstack-ai-langchain[knowledge-store] \\\n",
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" ragstack-ai-langchain[knowledge-store]==1.3.0 \\\n",
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" beautifulsoup4 markdownify python-dotenv"
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]
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},

libs/langchain/pyproject.toml

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@@ -18,9 +18,9 @@ ragstack-ai-colbert = { version = "1.0.5", optional = true }
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ragstack-ai-knowledge-store = { version = "0.1.0", optional = true }
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# langchain
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langchain = "0.2.5"
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langchain-core = "0.2.9"
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langchain-community = "0.2.5"
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langchain = "0.2.10"
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langchain-core = "0.2.22"
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langchain-community = "0.2.9"
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langchain-astradb = "0.3.3"
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langchain-openai = "0.1.8"
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langchain-google-genai = { version = "1.0.6", optional = true }
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from .base import GraphStore, Node
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from .cassandra import CassandraGraphStore
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__all__ = ["CassandraGraphStore", "GraphStore", "Node"]

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