tests: add support for llama-index 0.10.x

ragstack-e2e-tests/e2e_tests/langchain_llamaindex/test_astra.py

@@ -7,19 +7,34 @@
 from langchain.chat_models import ChatOpenAI
 from langchain.embeddings import OpenAIEmbeddings
 from langchain.vectorstores.astradb import AstraDB
-from llama_index import (
-    Document,
-    OpenAIEmbedding,
-    ServiceContext,
-    StorageContext,
-    VectorStoreIndex,
-)
-from llama_index.llms import OpenAI
-from llama_index.vector_stores import (
-    AstraDBVectorStore,
-    MetadataFilters,
-    ExactMatchFilter,
-)
+
+try:
+    # llamaindex 0.9.x
+    from llama_index import (
+        Document,
+        OpenAIEmbedding,
+        ServiceContext,
+        StorageContext,
+        VectorStoreIndex,
+    )
+    from llama_index.llms import OpenAI
+    from llama_index.vector_stores import (
+        AstraDBVectorStore,
+        MetadataFilters,
+        ExactMatchFilter,
+    )
+except ImportError:
+    # llamaindex 0.10.x
+    from llama_index.core import ServiceContext, StorageContext, VectorStoreIndex
+    from llama_index.core.schema import Document
+    from llama_index.core.vector_stores import (
+        MetadataFilters,
+        ExactMatchFilter,
+    )
+    from llama_index.vector_stores.astra import AstraDBVectorStore
+    from llama_index.embeddings.openai import OpenAIEmbedding
+    from llama_index.llms.openai import OpenAI
+
 
 from e2e_tests.test_utils import skip_test_due_to_implementation_not_supported
 from e2e_tests.test_utils.astradb_vector_store_handler import (

ragstack-e2e-tests/e2e_tests/llama_index/test_astra.py

@@ -8,21 +8,38 @@
     get_required_env,
     is_astra,
 )
-from llama_index import (
-    ServiceContext,
-    StorageContext,
-    VectorStoreIndex,
-    Document,
-)
-from llama_index.embeddings import BaseEmbedding
-from llama_index.llms import OpenAI, LLM
-from llama_index.node_parser import SimpleNodeParser
-from llama_index.schema import NodeWithScore
-from llama_index.vector_stores import (
-    AstraDBVectorStore,
-    MetadataFilters,
-    ExactMatchFilter,
-)
+
+try:
+    # llamaindex 0.9.x
+    from llama_index import (
+        ServiceContext,
+        StorageContext,
+        VectorStoreIndex,
+        Document,
+    )
+    from llama_index.embeddings import BaseEmbedding
+    from llama_index.llms import OpenAI, LLM
+    from llama_index.node_parser import SimpleNodeParser
+    from llama_index.schema import NodeWithScore
+    from llama_index.vector_stores import (
+        AstraDBVectorStore,
+        MetadataFilters,
+        ExactMatchFilter,
+    )
+except ImportError:
+    # llamaindex 0.10.x
+    from llama_index.core import ServiceContext, StorageContext, VectorStoreIndex
+    from llama_index.core.embeddings import BaseEmbedding
+    from llama_index.core.llms import LLM
+    from llama_index.core.node_parser import SimpleNodeParser
+    from llama_index.core.schema import NodeWithScore, Document
+    from llama_index.core.vector_stores import (
+        MetadataFilters,
+        ExactMatchFilter,
+    )
+    from llama_index.vector_stores.astra import AstraDBVectorStore
+    from llama_index.llms.openai import OpenAI
+
 
 from e2e_tests.test_utils import skip_test_due_to_implementation_not_supported
 from e2e_tests.test_utils.astradb_vector_store_handler import AstraDBVectorStoreHandler

ragstack-e2e-tests/e2e_tests/llama_index/test_compatibility_rag.py

@@ -2,28 +2,47 @@
 
 import pytest
 from langchain.embeddings import VertexAIEmbeddings, HuggingFaceInferenceAPIEmbeddings
-from llama_index import (
-    VectorStoreIndex,
-    StorageContext,
-    ServiceContext,
-    Document,
-)
-from llama_index.embeddings import (
-    OpenAIEmbedding,
-    AzureOpenAIEmbedding,
-    BedrockEmbedding,
-)
-from llama_index.llms import (
-    OpenAI,
-    AzureOpenAI,
-    Vertex,
-    Bedrock,
-    HuggingFaceInferenceAPI,
-    ChatMessage,
-    Gemini,
-)
-from llama_index.multi_modal_llms import GeminiMultiModal
-from llama_index.schema import ImageNode
+
+try:
+    # llamaindex 0.9.x
+    from llama_index import ServiceContext, StorageContext, VectorStoreIndex, Document
+    from llama_index.embeddings import (
+        OpenAIEmbedding,
+        AzureOpenAIEmbedding,
+        BedrockEmbedding,
+    )
+    from llama_index.llms import (
+        OpenAI,
+        AzureOpenAI,
+        Vertex,
+        Bedrock,
+        HuggingFaceInferenceAPI,
+        ChatMessage,
+        Gemini,
+    )
+    from llama_index.multi_modal_llms import GeminiMultiModal
+    from llama_index.schema import ImageNode
+except ImportError:
+    # llamaindex 0.10.x
+    from llama_index.core import (
+        ServiceContext,
+        StorageContext,
+        VectorStoreIndex,
+        Document,
+    )
+    from llama_index.core.base.llms.types import ChatMessage
+    from llama_index.core.schema import ImageNode
+    from llama_index.llms.openai import OpenAI
+    from llama_index.llms.azure_openai import AzureOpenAI
+    from llama_index.embeddings.openai import OpenAIEmbedding
+    from llama_index.embeddings.azure_openai import AzureOpenAIEmbedding
+    from llama_index.embeddings.bedrock import BedrockEmbedding
+    from llama_index.llms.vertex import Vertex
+    from llama_index.llms.bedrock import Bedrock
+    from llama_index.llms.huggingface import HuggingFaceInferenceAPI
+    from llama_index.llms.gemini import Gemini
+    from llama_index.multi_modal_llms.gemini import GeminiMultiModal
+
 
 from e2e_tests.conftest import (
     set_current_test_info,

ragstack-e2e-tests/e2e_tests/llama_index/test_llama_parse.py

@@ -5,14 +5,18 @@
 except ImportError:
     pytest.skip("llama_parse is not supported, skipping tests", allow_module_level=True)
 
-from llama_index import (
-    VectorStoreIndex,
-    StorageContext,
-    ServiceContext,
-)
 
-from llama_index.embeddings import OpenAIEmbedding
-from llama_index.llms import OpenAI
+try:
+    # llamaindex 0.9.x
+    from llama_index import ServiceContext, StorageContext, VectorStoreIndex
+    from llama_index.embeddings import OpenAIEmbedding
+    from llama_index.llms import OpenAI
+except ImportError:
+    # llamaindex 0.10.x
+    from llama_index.core import ServiceContext, StorageContext, VectorStoreIndex
+    from llama_index.llms.openai import OpenAI
+    from llama_index.embeddings.openai import OpenAIEmbedding
+
 
 from e2e_tests.conftest import (
     set_current_test_info,

ragstack-e2e-tests/e2e_tests/test_utils/astradb_vector_store_handler.py

@@ -10,7 +10,11 @@
 from langchain_community.chat_message_histories import AstraDBChatMessageHistory
 from langchain_community.vectorstores.astradb import AstraDB
 from langchain_core.chat_history import BaseChatMessageHistory
-from llama_index.vector_stores import AstraDBVectorStore
+
+try:
+    from llama_index.vector_stores import AstraDBVectorStore
+except ImportError:
+    from llama_index.vector_stores.astra import AstraDBVectorStore
 
 from e2e_tests.test_utils import get_required_env, random_string
 from e2e_tests.test_utils.vector_store_handler import (

ragstack-e2e-tests/e2e_tests/test_utils/cassandra_vector_store_handler.py

@@ -11,11 +11,22 @@
 )
 from langchain_community.vectorstores.cassandra import Cassandra
 from langchain_core.chat_history import BaseChatMessageHistory
-from llama_index.schema import TextNode
-from llama_index.vector_stores import CassandraVectorStore
-from llama_index.vector_stores.types import (
-    VectorStoreQuery,
-)
+
+try:
+    # llamaindex 0.9.x
+    from llama_index.schema import TextNode
+    from llama_index.vector_stores import CassandraVectorStore
+    from llama_index.vector_stores.types import (
+        VectorStoreQuery,
+    )
+except ImportError:
+    # llamaindex 0.10.x
+    from llama_index.core.schema import TextNode
+    from llama_index.vector_stores.cassandra import CassandraVectorStore
+    from llama_index.core.vector_stores.types import (
+        VectorStoreQuery,
+    )
+
 
 from e2e_tests.test_utils import (
     random_string,

ragstack-e2e-tests/pyproject.langchain.toml

@@ -14,7 +14,7 @@ black = "*"
 ruff = "*"
 google-cloud-aiplatform = "^1.36.4"
 boto3 = "^1.29.6"
-huggingface-hub = "^0.19.4"
+huggingface-hub = "^0.20.3"
 azure-storage-blob = "^12.19.0"
 pillow = "^10.2.0"
 testcontainers = "^3.7.1"

ragstack-e2e-tests/pyproject.llamaindex.toml

@@ -14,7 +14,7 @@ black = "*"
 ruff = "*"
 google-cloud-aiplatform = "^1.36.4"
 boto3 = "^1.29.6"
-huggingface-hub = "^0.19.4"
+huggingface-hub = "^0.20.3"
 azure-storage-blob = "^12.19.0"
 pillow = "^10.2.0"
 testcontainers = "^3.7.1"
@@ -25,7 +25,21 @@ trulens-eval = "^0.21.0"
 beautifulsoup4 = "^4"
 
 llama-index = { git = "https://github.com/run-llama/llama_index.git", branch = "main" }
-llama-parse = { version = "0.2.0" }
+llama-index-embeddings-langchain = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/embeddings/llama-index-embeddings-langchain" }
+llama-index-vector-stores-astra = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/vector_stores/llama-index-vector-stores-astra" }
+llama-index-vector-stores-cassandra = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra" }
+llama-index-llms-bedrock = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/llms/llama-index-llms-bedrock" }
+llama-index-llms-azure-openai = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/llms/llama-index-llms-azure-openai" }
+llama-index-llms-gemini = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/llms/llama-index-llms-gemini" }
+llama-index-llms-huggingface = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/llms/llama-index-llms-huggingface" }
+llama-index-llms-vertex = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/llms/llama-index-llms-vertex" }
+llama-index-embeddings-bedrock = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/embeddings/llama-index-embeddings-bedrock" }
+llama-index-embeddings-azure-openai = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/embeddings/llama-index-embeddings-azure-openai" }
+llama-index-embeddings-gemini = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/embeddings/llama-index-embeddings-gemini" }
+llama-index-embeddings-huggingface = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/embeddings/llama-index-embeddings-huggingface" }
+llama-index-multi-modal-llms-gemini = { git = "https://github.com/run-llama/llama_index.git", branch = "main", subdirectory = "llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini" }
+
+llama-parse = { git = "https://github.com/run-llama/llama_parse.git", branch = "main" }
 
 langchain = { version = "0.1.2" }
 langchain-core = "0.1.15"

ragstack-e2e-tests/pyproject.ragstack-ai.toml

@@ -16,7 +16,7 @@ google-cloud-aiplatform = "^1.36.4"
 langchain-google-genai = "^0.0.4"
 langchain-nvidia-ai-endpoints = "^0.0.1"
 boto3 = "^1.29.6"
-huggingface-hub = "^0.19.4"
+huggingface-hub = "^0.20.3"
 azure-storage-blob = "^12.19.0"
 pillow = "^10.2.0"
 testcontainers = "^3.7.1"

ragstack-e2e-tests/pyproject.toml

@@ -14,7 +14,7 @@ pytest = "*"
 black = "*"
 ruff = "*"
 boto3 = "^1.34.21"
-huggingface-hub = "^0.19.4"
+huggingface-hub = "^0.20.3"
 azure-storage-blob = "^12.19.0"
 pillow = "^10.2.0"
 testcontainers = "^3.7.1"