🌙 LUNA - Case Study
Collection
8 items • Updated
prompt stringlengths 70 19.8k | completion stringlengths 8 1.03k | api stringlengths 23 93 |
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get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().system('pip install llama-index')
import pandas as pd
pd.set_option("display.max... | OpenAIEmbedding() | llama_index.embeddings.openai.OpenAIEmbedding |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_grah... | OpenAIEmbedding() | llama_index.embeddings.openai.OpenAIEmbedding |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-indices-managed-colbert')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-qdrant')
get_ipython().run_line_magic('pip', 'install llama-index-llms-gemini')
get_ipython().r... | LLMRerank(top_n=3) | llama_index.core.postprocessor.LLMRerank |
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('autoreload', '2')
from llama_index.... | VectorStoreIndex.from_documents(sept_2022) | llama_index.core.VectorStoreIndex.from_documents |
import os
os.environ["OPENAI_API_KEY"] = ""
os.environ["VIDEO_DB_API_KEY"] = ""
get_ipython().run_line_magic('pip', 'install llama-index')
get_ipython().run_line_magic('pip', 'install videodb')
get_ipython().run_line_magic('pip', 'install llama-index-retrievers-videodb')
from videodb import connect
conn = con... | VideoDBRetriever() | llama_index.retrievers.videodb.VideoDBRetriever |
get_ipython().system('pip install llama-index llama-hub')
import nest_asyncio
nest_asyncio.apply()
get_ipython().system('wget "https://www.dropbox.com/s/f6bmb19xdg0xedm/paul_graham_essay.txt?dl=1" -O paul_graham_essay.txt')
from llama_index.core import SimpleDirectoryReader
from llama_index.core.node_parser imp... | SimpleDirectoryReader(input_files=["paul_graham_essay.txt"]) | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-gradient')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().system('pip instal... | PydanticOutputParser(Album) | llama_index.core.output_parsers.PydanticOutputParser |
get_ipython().run_line_magic('pip', 'install llama-index-readers-github')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-program-openai')
import os
os.environ["GITHUB_TOKEN"] = "<your github token>"
import os
from llama_index.reader... | batch_gather(tasks, batch_size=10, verbose=True) | llama_index.core.async_utils.batch_gather |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().system('pip install llama-index')
import os
import openai
os.environ["OPENAI_API_KEY"] = "sk-..."
openai.api_key = os.environ["OPENAI_API_KEY"]
import log... | PyMuPDFReader() | llama_index.readers.file.PyMuPDFReader |
import openai
openai.api_key = "sk-your-key"
from llama_index.agent import OpenAIAgent
from llama_index.tools import QueryEngineTool, ToolMetadata
from llama_index import SimpleDirectoryReader, VectorStoreIndex
import requests
response = requests.get(
"https://www.dropbox.com/s/f6bmb19xdg0xedm/paul_graham_ess... | SimpleDirectoryReader(input_files=["pg_essay.txt"]) | llama_index.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-deeplake')
get_ipython().system('pip install llama-index')
get_ipython().system('pip install deeplake')
import os
import textwrap
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, Document
from llama_index.vector_stores.dee... | StorageContext.from_defaults(vector_store=vector_store) | llama_index.core.StorageContext.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().system('pip install llama-index')
import nest_asyncio
nest_asyncio.apply()
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=s... | SQLDatabase(engine, include_tables=["city_stats"]) | llama_index.core.SQLDatabase |
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import nest_asyncio
nest_asyncio.apply()
get_ipython().system('pip install llama-index')
get_ipython().system('pip install spacy')
wiki_titles = [
"Toronto",
"S... | PromptTemplate(summary_q_tmpl) | llama_index.core.PromptTemplate |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-epsilla')
get_ipython().system('pip/pip3 install pyepsilla')
get_ipython().system('pip install llama-index')
import logging
import sys
from llama_index.core import SimpleDirectoryReader, Document, StorageContext
from llama_index.core import... | Document(text="Epsilla is the vector database we are using.") | llama_index.core.Document |
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-pinecone')
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().sy... | StorageContext.from_defaults() | llama_index.core.StorageContext.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-chroma')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().system('pip install llama-index')
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.vector_stores.chr... | SimpleDirectoryReader("./data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-cohere-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_... | OpenAIEmbedding(model="text-embedding-3-small") | llama_index.embeddings.openai.OpenAIEmbedding |
get_ipython().run_line_magic('pip', 'install llama-index llama-index-callbacks-langfuse')
import os
os.environ["LANGFUSE_SECRET_KEY"] = "sk-lf-..."
os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-lf-..."
os.environ[
"LANGFUSE_HOST"
] = "https://cloud.langfuse.com" # 🇪🇺 EU region, 🇺🇸 US region: "https://us.cloud.l... | SimpleDirectoryReader("data") | llama_index.core.SimpleDirectoryReader |
import os
import openai
os.environ["OPENAI_API_KEY"] = "sk-..."
openai.api_key = os.environ["OPENAI_API_KEY"]
get_ipython().system('curl https://www.ipcc.ch/report/ar6/wg2/downloads/report/IPCC_AR6_WGII_Chapter03.pdf --output IPCC_AR6_WGII_Chapter03.pdf')
from llama_index.core import SimpleDirectoryReader
from ... | OpenAI(model="gpt-3.5-turbo", temperature=0.3) | llama_index.llms.openai.OpenAI |
get_ipython().system('pip install llama-index')
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham/paul_graham_essay.txt'")
import logging
import sy... | VectorStoreIndex.from_documents(documents) | llama_index.core.VectorStoreIndex.from_documents |
import os
os.environ["OPENAI_API_KEY"] = "YOUR OPENAI API KEY"
get_ipython().system('wget --user-agent "Mozilla" "https://arxiv.org/pdf/2312.04511.pdf" -O "llm_compiler.pdf"')
get_ipython().system('wget --user-agent "Mozilla" "https://arxiv.org/pdf/2312.06648.pdf" -O "dense_x_retrieval.pdf"')
from llama_index.co... | SimpleDirectoryReader(input_files=["dense_x_retrieval.pdf"]) | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-firestore')
get_ipython().run_line_magic('pip', 'install llama-index-storage-kvstore-firestore')
get_ipython().run_line_magic('pip', 'install llama-index-storage-index-store-firestore')
get_ipython().run_line_magic('pip', 'install llama-index-llm... | SummaryIndex(nodes, storage_context=storage_context) | llama_index.core.SummaryIndex |
import os
print(os.listdir("./discord_dumps"))
import json
with open("./discord_dumps/help_channel_dump_05_25_23.json", "r") as f:
data = json.load(f)
print("JSON keys: ", data.keys(), "\n")
print("Message Count: ", len(data["messages"]), "\n")
print("Sample Message Keys: ", data["messages"][0].keys(), "\n")
p... | VectorStoreIndex.from_documents(documents) | llama_index.core.VectorStoreIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning-callbacks')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magi... | VectorStoreIndex(nodes=nodes) | llama_index.core.VectorStoreIndex |
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning-callbacks')
get_ipython().run_line... | CallbackManager([main_finetuning_handler]) | llama_index.core.callbacks.CallbackManager |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import camelot
from llama_index.core import VectorStoreIndex
from llama_index.core.query_engine i... | OpenAI(model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-mongodb')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-qdrant')
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-firestore')
get_ipython().run_line_magic('pip', 'install llama-index-retrievers-bm... | SimpleDocumentStore() | llama_index.core.storage.docstore.SimpleDocumentStore |
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-pinecone')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
get_ipython().system('mkdir data')
get_ipy... | PyMuPDFReader() | llama_index.readers.file.PyMuPDFReader |
get_ipython().run_line_magic('pip', 'install llama-index-multi-modal-llms-replicate')
get_ipython().run_line_magic('', 'pip install replicate')
import os
REPLICATE_API_TOKEN = "" # Your Relicate API token here
os.environ["REPLICATE_API_TOKEN"] = REPLICATE_API_TOKEN
from PIL import Image
import requests
from i... | ImageDocument(image_path=f"test_images/{idx}.png") | llama_index.core.schema.ImageDocument |
get_ipython().run_line_magic('pip', 'install llama-index-llms-clarifai')
get_ipython().system('pip install llama-index')
get_ipython().system('pip install clarifai')
import os
os.environ["CLARIFAI_PAT"] = "<YOUR CLARIFAI PAT>"
from llama_index.llms.clarifai import Clarifai
params = dict(
user_id="cla... | ChatMessage(role="user", content="Explain about the big bang") | llama_index.core.llms.ChatMessage |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-graph-stores-neo4j')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-azure-openai')
import os
os.... | KnowledgeGraphIndex.from_documents([], storage_context=storage_context) | llama_index.core.KnowledgeGraphIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-mongodb')
get_ipython().run_line_magic('pip', 'install llama-index-storage-index-store-mongodb')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
import nest_asyncio
nest_... | display_response(vector_response) | llama_index.core.response.notebook_utils.display_response |
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning-callbacks')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magi... | PyMuPDFReader() | llama_index.readers.file.PyMuPDFReader |
get_ipython().run_line_magic('pip', 'install llama-index-readers-pathway')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().system('pip install pathway')
get_ipython().system('pip install llama-index')
get_ipython().system("mkdir -p 'data/'")
get_ipython().system("wget 'http... | PathwayReader(host=PATHWAY_HOST, port=PATHWAY_PORT) | llama_index.readers.pathway.PathwayReader |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
import nest_asyncio
nest_asyncio.apply()
import cProfile, pstats
from pstats import SortKey
get_ipython().system('llamaindex-cli download-llamadataset PatronusAIFinanceBenchDataset --download-dir ./data')
from llama_index.core impor... | OpenAIEmbedding() | llama_index.embeddings.openai.OpenAIEmbedding |
get_ipython().system('pip install -U llama-index-multi-modal-llms-dashscope')
get_ipython().run_line_magic('env', 'DASHSCOPE_API_KEY=YOUR_DASHSCOPE_API_KEY')
from llama_index.multi_modal_llms.dashscope import (
DashScopeMultiModal,
DashScopeMultiModalModels,
)
from llama_index.core.multi_modal_llms.gener... | load_local_images(local_images) | llama_index.multi_modal_llms.dashscope.utils.load_local_images |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-web')
get_ipython().run_line_magic('pip', 'install llama-index-multi-modal-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-tools-metaphor')
get_ipython().syste... | AgentRunner(react_step_engine) | llama_index.core.agent.AgentRunner |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
import nest_asyncio
nest_asyncio.apply()
get_ipython().system('mkdir data && wget --user-agent "Mozilla" "https://arxiv.org/pdf/2307.09288.pdf" -O "data/llama2.pdf"')
ge... | OpenAI(model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-web')
get_ipython().run_line_magic('pip', 'install llama-index-readers-papers')
get_ipython().system('pip install llama_index transformers wikipedia html2text pyvis')
import loggin... | ArxivReader() | llama_index.readers.papers.ArxivReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-ai21')
get_ipython().system('pip install llama-index')
from llama_index.llms.ai21 import AI21
api_key = "Your api key"
resp = AI21(api_key=api_key).complete("Paul Graham is ")
print(resp)
from llama_index.core.llms import ChatMessage
from llama_ind... | AI21(model="j2-mid", api_key=api_key) | llama_index.llms.ai21.AI21 |
get_ipython().system('pip install llama-index')
import os
os.environ["OPENAI_API_KEY"] = "sk-..."
import nest_asyncio
nest_asyncio.apply()
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.core.tools import QueryEngineTool, ToolMetadata
from llama_index.core.query_engine impor... | SimpleDirectoryReader(input_dir="./data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
from llama_index.core import SQLDatabase
from sqlalchemy import (
create_engine,
MetaData,
Table,
Column,
String,
Integer,
select,
column,
)
engine = create_engine("sqlite:///chinook.db")
sql_database = SQLDatabase(engine)
from llama_index.core.query_pipeline import QueryPipeline
g... | PromptTemplate(validate_prompt_str) | llama_index.core.PromptTemplate |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import camelot
from llama_index.core import VectorStoreIndex
from llama_index.core.query_engine i... | PyMuPDFReader() | llama_index.readers.file.PyMuPDFReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-retrievers-bm25')
get_ipython().system('pip install llama-index')
import nest_asyncio
nest_asyncio.apply()
import os
import openai
os.environ["OPENAI_API_KEY"] = "sk-..."
openai.api_ke... | BM25Retriever.from_defaults(nodes=nodes, similarity_top_k=2) | llama_index.retrievers.bm25.BM25Retriever.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
texts = [
"The president in the year 2040 is John Cena.",
"The president in the year 2050 is Florence Pugh.",
'The president in the year 2060 is Dwayne "The Rock" Johnson.',
]
impor... | OpenAI(model="gpt-3.5-turbo-instruct") | llama_index.llms.openai.OpenAI |
get_ipython().system('pip install llama-index')
import os
os.environ["OPENAI_API_KEY"] = "sk-..."
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham... | Settings.get_nodes_from_documents(documents) | llama_index.core.Settings.get_nodes_from_documents |
import os
from getpass import getpass
if os.getenv("OPENAI_API_KEY") is None:
os.environ["OPENAI_API_KEY"] = getpass(
"Paste your OpenAI key from:"
" https://platform.openai.com/account/api-keys\n"
)
assert os.getenv("OPENAI_API_KEY", "").startswith(
"sk-"
), "This doesn't look like a valid... | VectorStoreIndex.from_documents(documents) | llama_index.core.VectorStoreIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
import nest_asyncio
nest_asyncio.apply()
get_ipyt... | SimpleNodeParser.from_defaults() | llama_index.core.node_parser.SimpleNodeParser.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().system('pip install llama-index')
from llama_index.core.tools.ondemand_loader_tool import OnDemandLoaderTool
from llama_index.readers.wikipedia import WikipediaReader
from typing import List
from pydantic import BaseModel
... | WikipediaReader() | llama_index.readers.wikipedia.WikipediaReader |
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-mongodb')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-qdrant')
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-firestore')
get_ipython().run_line_magic('pip', 'install llama-index-retrievers-bm... | SimpleDocumentStore.from_persist_path("./docstore.json") | llama_index.core.storage.docstore.SimpleDocumentStore.from_persist_path |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
import nest_asyncio
nest_asyncio.apply()
get_ipython().system("wget 'https://raw.githubusercontent.com/jerryjliu/llama_index/main/examples/gatsby/gatsby_full.txt' -O 'gatsby_full.txt'")
fro... | StorageContext.from_defaults() | llama_index.core.StorageContext.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-pinecone')
import phoenix as px
import llama_index.core
px.launch_app()
llama_index.core.set_global_handler("arize_phoenix")
import os
os.environ[
"PINECONE_API_KEY"
] = "<Your Pinecone API key, from app.pinecone.io>"
from pinecone i... | VectorStoreIndex(nodes, storage_context=storage_context) | llama_index.core.VectorStoreIndex |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import nest_asyncio
nest_asyncio.apply()
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
from llama_index.core import VectorStoreInde... | QueryBundle(query_str) | llama_index.core.QueryBundle |
get_ipython().run_line_magic('pip', 'install llama-index-multi-modal-llms-openai')
get_ipython().system('pip install openai matplotlib')
import os
OPENAI_API_TOKEN = "sk-" # Your OpenAI API token here
os.environ["OPENAI_API_TOKEN"] = OPENAI_API_TOKEN
from llama_index.multi_modal_llms.openai import OpenAIMult... | load_image_urls(image_urls) | llama_index.core.multi_modal_llms.generic_utils.load_image_urls |
get_ipython().run_line_magic('pip', 'install -U llama-index llama-index-embeddings-nomic')
nomic_api_key = "<NOMIC API KEY>"
import nest_asyncio
nest_asyncio.apply()
from llama_index.embeddings.nomic import NomicEmbedding
embed_model = NomicEmbedding(
api_key=nomic_api_key,
dimensionality=128,
mod... | SimpleDirectoryReader("./data/paul_graham") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-portkey')
get_ipython().system('pip install llama-index')
get_ipython().system('pip install -U llama_index')
get_ipython().system('pip install -U portkey-ai')
from llama_index.llms.portkey import Portkey
from llama_index.core.llms import ChatMessage
imp... | ChatMessage(role="user", content="What can you do?") | llama_index.core.llms.ChatMessage |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai pandas[jinja2] spacy')
import nest_asyncio
nest_asyncio.apply()
import os
os.environ["OPENAI_API_KEY"] = "sk-..."
from llama_index.core import (
VectorStoreIndex,
SimpleDirectoryReader,
Response,
)
from llama_index.llms.openai impo... | SimpleDirectoryReader("./test_wiki_data/") | llama_index.core.SimpleDirectoryReader |
get_ipython().system('pip install llama-index')
import os
import openai
os.environ["OPENAI_API_KEY"] = "sk-..."
openai.api_key = os.environ["OPENAI_API_KEY"]
import nltk
nltk.download("stopwords")
import llama_index.core
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
lo... | load_index_from_storage(storage_context, index_id="vector_index") | llama_index.core.load_index_from_storage |
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-postgres')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().run_line_magic('pip', 'install llama-index-llms-llama-cpp')
from lla... | HuggingFaceEmbedding(model_name="BAAI/bge-small-en") | llama_index.embeddings.huggingface.HuggingFaceEmbedding |
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-cohere-rerank')
get_ipython().system('pip install llama-index')
from llama_index.core import (
VectorStoreIndex,
SimpleDirectoryReader,
pprint_response,
)
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("... | VectorStoreIndex.from_documents(documents=documents) | llama_index.core.VectorStoreIndex.from_documents |
from llama_index.llms.openai import OpenAI
from llama_index.core import VectorStoreIndex
from llama_index.embeddings.openai import OpenAIEmbedding
from llama_index.core.postprocessor import LLMRerank
from llama_index.core import VectorStoreIndex
from llama_index.vector_stores.pinecone import PineconeVectorStore
from ll... | PineconeVectorStore(pinecone_index=index, text_key="summary") | llama_index.vector_stores.pinecone.PineconeVectorStore |
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning-callbacks')
get_ipython().run_line... | OpenAIFineTuningHandler() | llama_index.finetuning.callbacks.OpenAIFineTuningHandler |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-retrievers-bm25')
import os
import openai
os.environ["OPENAI_API_KEY"] = "sk-..."
openai.api_key = os.environ["OPENAI_API_KEY"]
get_ipython().system("mkdir -p 'data/paul_graham/'")
get... | RetrieverQueryEngine.from_args(retriever) | llama_index.core.query_engine.RetrieverQueryEngine.from_args |
get_ipython().run_line_magic('pip', 'install llama-index-llms-everlyai')
get_ipython().system('pip install llama-index')
from llama_index.llms.everlyai import EverlyAI
from llama_index.core.llms import ChatMessage
llm = | EverlyAI(api_key="your-api-key") | llama_index.llms.everlyai.EverlyAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-predibase')
get_ipython().system('pip install llama-index --quiet')
get_ipython().system('pip install predibase --quiet')
get_ipython().system('pip install sentence-transformers --quiet')
import os
os.environ["PREDIBASE_API_TOKEN"] = "{PREDIBASE_API_TOK... | resolve_embed_model("local:BAAI/bge-small-en-v1.5") | llama_index.core.embeddings.resolve_embed_model |
get_ipython().run_line_magic('pip', 'install llama-index-program-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-llama-api')
get_ipython().system('pip install llama-index')
from llama_index.llms.llama_api import LlamaAPI
api_key = "LL-your-key"
llm = LlamaAPI(api_key=api_key)
resp = l... | LlamaAPI(api_key=api_key, temperature=0.0) | llama_index.llms.llama_api.LlamaAPI |
get_ipython().system('pip install llama-index')
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham/paul_graham_essay.txt'")
import logging
import sy... | TransformQueryEngine(query_engine, hyde) | llama_index.core.query_engine.TransformQueryEngine |
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning-callbacks')
get_ipython().run_line... | PairwiseComparisonEvaluator(llm=ft_llm) | llama_index.core.evaluation.PairwiseComparisonEvaluator |
get_ipython().run_line_magic('pip', 'install llama-index-llms-gradient')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().system('pip instal... | LlamaDebugHandler() | llama_index.core.callbacks.LlamaDebugHandler |
get_ipython().system('pip install llama-index')
import os
os.environ["OPENAI_API_KEY"] = "sk-..."
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham... | SimpleKeywordTableIndex(nodes, storage_context=storage_context) | llama_index.core.SimpleKeywordTableIndex |
get_ipython().run_line_magic('pip', 'install llama-index-readers-google')
get_ipython().system('pip install llama-index')
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
from llama_index.core import Summ... | SummaryIndex.from_documents(documents) | llama_index.core.SummaryIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-finetuning')
get_ipython().run_line_magic('pip', 'install llama-index-finetuning-callbacks')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
from llama_index.core import (
SimpleDirectoryReader,
VectorStoreIndex,
StorageContex... | PromptTemplate(vary_question_tmpl) | llama_index.core.PromptTemplate |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-metal')
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llam... | SimpleDirectoryReader("./data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import camelot
from llama_index.core import VectorStoreIndex
from llama_index.core.query_engine i... | OpenAI(model="gpt-4") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-typesense')
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/da... | TypesenseVectorStore(typesense_client) | llama_index.vector_stores.typesense.TypesenseVectorStore |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('autoreload', '2')
get_ipython().run_line_magic('env', 'OPENAI_API_KEY=')
get_ipython().run... | generate_question_context_pairs(base_nodes) | llama_index.core.evaluation.generate_question_context_pairs |
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install rank-bm25 pymupdf')
import nest_asyncio
nest_asyncio.apply()
get_ipython().system('mkdir data')
get_ipython().system('wget --user-agent... | VectorStoreIndex.from_documents(documents, transformations=[splitter]) | llama_index.core.VectorStoreIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-lantern')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().system('pip install psycopg2-binary llama-index asyncpg')
from llama_index.core import SimpleDirectoryReader, StorageContext
from llama_index.co... | SimpleDirectoryReader("./data/paul_graham") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-packs-ragatouille-retriever')
from llama_index.packs.ragatouille_retriever import RAGatouilleRetrieverPack
from llama_index.core.llama_pack import download_llama_pack
get_ipython().syst... | OpenAI(model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-web')
get_ipython().run_line_magic('pip', 'install llama-index-multi-modal-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-tools-metaphor')
get_ipython().syste... | SimpleWebPageReader(html_to_text=True) | llama_index.readers.web.SimpleWebPageReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-graph-stores-nebula')
get_ipython().run_line_magic('pip', 'install llama-index-llms-azure-openai')
import os
os... | StorageContext.from_defaults(graph_store=graph_store) | llama_index.core.StorageContext.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-rankgpt-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-llms-huggingface')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-ollama')
import nest_... | QueryBundle(query_str) | llama_index.core.QueryBundle |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
import nest_asyncio
nest_asyncio.apply()
from llama_index.core import SimpleDirectoryReader, VectorStoreIndex
from llama_index.core.response.pprint_utils import pprint_response
from llama_index.... | OpenAI(temperature=0.2, model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import nest_asyncio
nest_asyncio.apply()
from llama_index.core.evaluation import generate_question_context_pairs
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.core.node_parser import SentenceSplitter
from... | OpenAI(model="gpt-4") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai pandas[jinja2] spacy')
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
from llama_index.core import (
TreeIndex,
VectorStoreInde... | OpenAI(temperature=0, model="gpt-4") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-timescalevector')
get_ipython().system('pip install llama-index')
import timescale_vector
from llama_index.core import SimpleDirectoryReader, StorageContext
from llam... | VectorStoreIndex.from_vector_store(vector_store=vector_store) | llama_index.core.VectorStoreIndex.from_vector_store |
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