fix: ignore outdated pack examples

llama-index-packs/llama-index-packs-agent-search-retriever/pyproject.toml

@@ -29,10 +29,10 @@ license = "MIT"
 maintainers = ["logan-markewich"]
 name = "llama-index-packs-agent-search-retriever"
 readme = "README.md"
-version = "0.1.3"
+version = "0.1.4"
 
 [tool.poetry.dependencies]
-python = ">=3.8.1,<4.0"
+python = ">=3.9,<3.12"
 llama-index-core = "^0.10.1"
 
 [tool.poetry.group.dev.dependencies]

llama-index-packs/llama-index-packs-arize-phoenix-query-engine/examples/arize_phoenix_llama_pack.ipynb

@@ -33,19 +33,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install llama-index\n",
     "%pip install llama-index-readers-web\n",
     "%pip install llama-index-packs-arize-phoenix-query-engine"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install \"arize-phoenix[llama-index]\" llama-hub html2text"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,

llama-index-packs/llama-index-packs-arize-phoenix-query-engine/examples/example.py

@@ -2,7 +2,7 @@
 
 from llama_index.packs.arize_phoenix_query_engine import ArizePhoenixQueryEnginePack
 from llama_index.core.node_parser import SentenceSplitter
-from llama_index.core.readers.web import SimpleWebPageReader
+from llama_index.readers.web import SimpleWebPageReader
 from tqdm.auto import tqdm
 
 # load documents and create the pack

llama-index-packs/llama-index-packs-arize-phoenix-query-engine/pyproject.toml

@@ -34,7 +34,7 @@ version = "0.1.4"
 [tool.poetry.dependencies]
 python = ">=3.8.1,<3.12"
 llama-index-core = "^0.10.11.post1"
-arize-phoenix = "^2.7.0"
+llama-index-callbacks-arize-phoenix = "^0.1.4"
 llama-index-readers-web = "^0.1.1"
 
 [tool.poetry.group.dev.dependencies]

llama-index-packs/llama-index-packs-corrective-rag/pyproject.toml

@@ -35,6 +35,7 @@ version = "0.1.1"
 python = ">=3.8.1,<4.0"
 llama-index-core = "^0.10.0"
 tavily-python = "^0.3.1"
+llama-index-tools-tavily-research = "^0.1.2"
 
 [tool.poetry.group.dev.dependencies]
 ipython = "8.10.0"

llama-index-packs/llama-index-packs-rag-evaluator/examples/example.py

@@ -1,8 +1,8 @@
 # Required Environment Variables: OPENAI_API_KEY
 
+from llama_index.core import VectorStoreIndex
 from llama_index.core.llama_dataset import download_llama_dataset
 from llama_index.packs.rag_evaluator import RagEvaluatorPack
-from llama_index.legacy import VectorStoreIndex
 
 # download a LabelledRagDataset from llama-hub
 rag_dataset, documents = download_llama_dataset(

llama-index-packs/llama-index-packs-rag-evaluator/llama_index/packs/rag_evaluator/base.py

@@ -7,7 +7,6 @@
 
 import pandas as pd
 import tqdm
-from llama_index.core import ServiceContext
 from llama_index.core.evaluation import (
     CorrectnessEvaluator,
     EvaluationResult,
@@ -22,6 +21,7 @@
 from llama_index.core.llama_pack.base import BaseLlamaPack
 from llama_index.core.llms import LLM
 from llama_index.core.query_engine import BaseQueryEngine
+from llama_index.embeddings.openai import OpenAIEmbedding
 from llama_index.llms.openai import OpenAI
 from openai import RateLimitError
 from tqdm.asyncio import tqdm_asyncio
@@ -95,22 +95,16 @@ def _prepare_judges(self):
         """Construct the evaluators."""
         judges = {}
         judges["correctness"] = CorrectnessEvaluator(
-            service_context=ServiceContext.from_defaults(
-                llm=self.judge_llm,
-            )
+            llm=self.judge_llm,
         )
         judges["relevancy"] = RelevancyEvaluator(
-            service_context=ServiceContext.from_defaults(
-                llm=self.judge_llm,
-            )
+            llm=self.judge_llm,
         )
         judges["faithfulness"] = FaithfulnessEvaluator(
-            service_context=ServiceContext.from_defaults(
-                llm=self.judge_llm,
-            )
+            llm=self.judge_llm,
         )
         judges["semantic_similarity"] = SemanticSimilarityEvaluator(
-            service_context=ServiceContext.from_defaults()
+            embed_model=OpenAIEmbedding()
         )
         return judges
 

llama-index-packs/llama-index-packs-rag-evaluator/pyproject.toml

@@ -29,12 +29,13 @@ license = "MIT"
 maintainers = ["nerdai"]
 name = "llama-index-packs-rag-evaluator"
 readme = "README.md"
-version = "0.1.3"
+version = "0.1.4"
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
 llama-index-core = "^0.10.1"
 llama-index-llms-openai = "^0.1.1"
+llama-index-embeddings-openai = "^0.1.6"
 
 [tool.poetry.group.dev.dependencies]
 ipython = "8.10.0"