prompt stringlengths 70 19.8k | completion stringlengths 8 1.03k | api stringlengths 23 93 |
|---|---|---|
import openai
openai.api_key = "sk-your-api-key"
from llama_index.agent import OpenAIAgent
import requests
import yaml
f = requests.get(
"https://raw.githubusercontent.com/APIs-guru/openapi-directory/main/APIs/openai.com/1.2.0/openapi.yaml"
).text
open_api_spec = yaml.safe_load(f)
from llama_index.tools.opena... | OpenAPIToolSpec(open_api_spec) | llama_index.tools.openapi.base.OpenAPIToolSpec |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-qdrant')
import logging
import sys
import os
import qdrant_client
from IPython.display import Markdown, display
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.core import StorageContext
from llama_index.vect... | StorageContext.from_defaults(vector_store=vector_store) | llama_index.core.StorageContext.from_defaults |
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... | OpenAI(model="gpt-4-1106-preview") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-vertex')
from llama_index.llms.vertex import Vertex
from google.oauth2 import service_account
filename = "vertex-407108-37495ce6c303.json"
credentials: service_account.Credentials = (
service_account.Credentials.from_service_account_file(filename)
)
V... | Vertex(model="chat-bison") | llama_index.llms.vertex.Vertex |
get_ipython().system('pip install llama-index')
import logging
import sys
from IPython.display import Markdown, display
import pandas as pd
from llama_index.core.query_engine import PandasQueryEngine
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(str... | PromptTemplate(
"""\
You are working with a pandas dataframe in Python.
The name of the dataframe is `df`.
This is the result of `print(df.head())`:
{df_str}
Follow these instructions:
{instruction_str}
Query: {query_str}
Expression: """
) | llama_index.core.PromptTemplate |
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.... | OpenAI(temperature=0, model="gpt-4-0613") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-docarray')
get_ipython().system('pip install llama-index')
import os
import sys
import logging
import textwrap
import warnings
warnings.filterwarnings("ignore")
os.environ["TOKENIZERS_PARALLELISM"] = "false"
from llama_index.core import (
... | StorageContext.from_defaults(vector_store=vector_store) | llama_index.core.StorageContext.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
import os
os.environ["OPENAI_API_KEY"] = "sk-..."
get_ipython().system("mkdir -p 'data/'")
get_ipython().system("curl 'https://arxiv.org/pdf/2307.09288.pdf' -o 'data/llama2.pdf'")
get_ipython().system('pip install unstructured[pdf]')
from ... | VectorStoreIndex.from_documents(documents) | llama_index.core.VectorStoreIndex.from_documents |
from llama_index.agent import OpenAIAgent
import openai
openai.api_key = "sk-your-key"
from llama_index.tools.yelp.base import YelpToolSpec
from llama_index.tools.tool_spec.load_and_search.base import LoadAndSearchToolSpec
tool_spec = YelpToolSpec(api_key="your-key", client_id="your-id")
tools = tool_spec.to_tool... | LoadAndSearchToolSpec.from_defaults(tools[1]) | llama_index.tools.tool_spec.load_and_search.base.LoadAndSearchToolSpec.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-llms-perplexity')
get_ipython().system('pip install llama-index')
from llama_index.llms.perplexity import Perplexity
pplx_api_key = "your-perplexity-api-key"
llm = Perplexity(
api_key=pplx_api_key, model="mistral-7b-instruct", temperature=0.5
)
from ... | ChatMessage(**msg) | llama_index.core.llms.ChatMessage |
get_ipython().system('pip install llama-index')
get_ipython().system('pip install duckdb')
get_ipython().system('pip install llama-index-vector-stores-duckdb')
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.vector_stores.duckdb import DuckDBVectorStore
from llama_index.core i... | SimpleDirectoryReader("data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-weaviate')
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))
import weaviate
resour... | display_response(response) | llama_index.core.response.notebook_utils.display_response |
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
from llama_index.readers.file import ImageTabularChartReader
from llama_index.core import SummaryIndex
from llama_index.core.response.notebook_utils import display_response
from pathlib import Path
loader = ImageTabularChartReader(keep_image=Tr... | display_response(response, show_source=True) | llama_index.core.response.notebook_utils.display_response |
get_ipython().system('pip install llama-index')
import logging
import sys
from IPython.display import Markdown, display
import pandas as pd
from llama_index.core.query_engine import PandasQueryEngine
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(str... | PandasQueryEngine(df=df, verbose=True) | llama_index.core.query_engine.PandasQueryEngine |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-cohere-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import phoenix as px
px.launch_app()
import llama_index.core
llama_index.core.set... | TreeSummarize(llm=llm) | llama_index.core.response_synthesizers.TreeSummarize |
import os
os.environ["OPENAI_API_KEY"] = "sk-..."
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.core.postprocessor import (
FixedRecencyPostprocessor,
EmbeddingRecencyPostprocessor,
)
from llama_index.core.node_parser import SentenceSplitter
from llama_index.core.stora... | SentenceSplitter(chunk_size=512) | llama_index.core.node_parser.SentenceSplitter |
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... | display_response(vector_response) | llama_index.core.response.notebook_utils.display_response |
get_ipython().run_line_magic('pip', 'install llama-index-finetuning-cross-encoders')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
get_ipython().system('pip install datasets --quiet')
get_ipython().system('pip install sentence-transformers --q... | Document(text=row["paper"]) | llama_index.core.Document |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-hub-llama-packs-tables-chain-of-table-base')
get_ipython().system('wget "https://github.com/ppasupat/WikiTableQuestions/releases/download/v1.0.2/WikiTableQuestions-1.0.2-compact.zip" -O data.zip')... | QueryPipeline(chain=[prompt_c, llm]) | llama_index.core.query_pipeline.QueryPipeline |
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... | HuggingFaceEmbedding(model_name="BAAI/bge-base-en-v1.5") | llama_index.embeddings.huggingface.HuggingFaceEmbedding |
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... | OpenAI(temperature=0, model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
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... | PromptTemplate(query_gen_prompt_str) | llama_index.core.PromptTemplate |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-graph-stores-falkordb')
import os
os.environ["OPENAI_API_KEY"] = "API_KEY_HERE"
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
from llama_index.... | OpenAI(temperature=0, model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-anthropic')
get_ipython().run_line_magic('pip', 'install llama-index-llms-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-lla... | SimpleDirectoryReader(input_dir="./data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
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... | GitHubIssuesClient() | llama_index.readers.github.GitHubIssuesClient |
get_ipython().run_line_magic('pip', 'install llama-index-llms-replicate')
get_ipython().system('pip install llama-index')
import os
os.environ["OPENAI_API_KEY"] = "sk-..."
os.environ["REPLICATE_API_TOKEN"] = "YOUR_REPLICATE_TOKEN"
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from IPy... | SimpleDirectoryReader("./data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
from llama_index.llms.openai import OpenAI
resp = OpenAI().complete("Paul Graham is ")
print(resp)
from llama_index.core.llms import ChatMessage
from llama_index.llms.openai import OpenAI
... | ChatMessage(role="user", content="What is your name") | llama_index.core.llms.ChatMessage |
get_ipython().run_line_magic('pip', 'install llama-index-llms-gradient')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-gradient')
get_ipython().run_line_magic('pip', 'install llama-index --quiet')
get_ipython().run_line_magic('pip', 'install gradientai --quiet')
import os
os.environ["GRADIE... | VectorStoreIndex.from_documents(documents) | llama_index.core.VectorStoreIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-llms-xinference')
port = 9997 # replace with your endpoint port number
get_ipython().system('pip install llama-index')
from llama_index.core import SummaryIndex
from llama_index.core import (
TreeIndex,
VectorStoreIndex,
KeywordTableIndex,
... | SimpleDirectoryReader("../data/paul_graham") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-weaviate')
get_ipython().system('pip install llama-index')
import os
import openai
os.environ["OPENAI_API_KEY"] = "YOUR_API_KEY_HERE"
openai.api_key = os.environ["OPENAI_API_KEY"]
import logging
import sys
logging.basicConfig(stream=sys.std... | SimpleDirectoryReader("./data/paul_graham") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-anyscale')
get_ipython().system('pip install llama-index')
from llama_index.llms.anyscale import Anyscale
from llama_index.core.llms import ChatMessage
llm = Anyscale(api_key="<your-api-key>")
message = ChatMessage(role="user", content="Tell me a j... | Anyscale(model="codellama/CodeLlama-34b-Instruct-hf") | llama_index.llms.anyscale.Anyscale |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-cohere-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import phoenix as px
px.launch_app()
import llama_index.core
llama_index.core.set... | QueryPipeline(chain=[prompt_tmpl, llm], verbose=True) | llama_index.core.query_pipeline.QueryPipeline |
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... | OpenAIEmbedding() | llama_index.embeddings.openai.OpenAIEmbedding |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-zep')
get_ipython().system('pip install llama-index')
import logging
import sys
from uuid import uuid4
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
import... | SimpleDirectoryReader("../data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-elasticsearch')
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))
import os
import get... | StorageContext.from_defaults(vector_store=vector_store) | llama_index.core.StorageContext.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-llms-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' ... | VectorStoreIndex.from_documents(data) | llama_index.core.VectorStoreIndex.from_documents |
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... | Portkey(mode="fallback") | llama_index.llms.portkey.Portkey |
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... | CallbackManager([finetuning_handler]) | llama_index.core.callbacks.CallbackManager |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
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 VectorSt... | OpenAI(temperature=0, model="gpt-3.5-turbo") | 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... | StorageContext.from_defaults(vector_store=vector_store) | llama_index.core.StorageContext.from_defaults |
get_ipython().system('pip install exa_py')
import os
import openai
from llama_index.agent import OpenAIAgent
openai.api_key = os.environ["OPENAI_API_KEY"]
from llama_hub.tools.exa.base import ExaToolSpec
exa_tool = ExaToolSpec(
api_key=os.environ["EXA_API_KEY"],
)
exa_tool_list = exa_tool.to_tool_list()
for t... | LoadAndSearchToolSpec.from_defaults(search_and_retrieve_docs_tool) | llama_index.tools.tool_spec.load_and_search.base.LoadAndSearchToolSpec.from_defaults |
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')
from llama_index.core import (
VectorStoreIndex,
SimpleKeywordTableIndex,
SimpleDirectoryReader,
)
from llama_in... | AgentRunner(openai_step_engine) | llama_index.core.agent.AgentRunner |
from llama_index.agent import OpenAIAgent
import openai
openai.api_key = "sk-api-key"
from llama_index.tools.gmail.base import GmailToolSpec
from llama_index.tools.google_calendar.base import GoogleCalendarToolSpec
from llama_index.tools.google_search.base import GoogleSearchToolSpec
gmail_tools = GmailToolSpec().... | OpenAIAgent.from_tools(all_tools, verbose=True) | llama_index.agent.OpenAIAgent.from_tools |
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=YOUR_OPENAI_KEY')
... | SentenceSplitter(chunk_size=1024) | llama_index.core.node_parser.SentenceSplitter |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('aut... | VectorStoreIndex(nodes) | llama_index.core.VectorStoreIndex |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
from llama_index.core import (
SimpleDirectoryReader,
VectorStoreIndex,
StorageContext,
load_index_from_storage,
)
from llama_index.core.tools import QueryEngineTool, ToolMetadata
try:
storage_context = StorageContext.from_d... | VectorStoreIndex.from_documents(lyft_docs) | llama_index.core.VectorStoreIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-qdrant')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-multi-modal-llms-replicate')
get_ipython().run_line_magic('pip', 'install unstructured replicate')
get_ipytho... | ImageDocument(image_path=imageUrl) | llama_index.core.schema.ImageDocument |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-weaviate')
get_ipython().system('pip install llama-index')
import os
import openai
os.environ["OPENAI_API_KEY"] = "YOUR_API_KEY_HERE"
openai.api_key = os.environ["OPENAI_API_KEY"]
import logging
import sys
logging.basicConfig(stream=sys.std... | ExactMatchFilter(key="filename", value="README.md") | llama_index.core.vector_stores.ExactMatchFilter |
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
from llama_index.core.agent import (
CustomSimpleAgentWorker,
Task,
AgentChatResponse,
)
from typing import Dict, Any, List, Tuple, Optional
from llama_index.... | ChatMessage(role=MessageRole.USER, content=raw_msg[1]) | llama_index.core.llms.ChatMessage |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-lantern')
get_ipython().system('pip install llama-index psycopg2-binary asyncpg')
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
im... | TextNode(
text=(
"Rihanna is a Barbadian singer, actress, and businesswoman. She"
" has achieved significant success in the music industry and is"
" known for her versatile musical style."
) | llama_index.core.schema.TextNode |
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... | 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-llms-cohere')
get_ipython().system('pip install llama-index')
from llama_index.llms.cohere import Cohere
api_key = "Your api key"
resp = Cohere(api_key=api_key).complete("Paul Graham is "... | Cohere(model="command", api_key=api_key) | llama_index.llms.cohere.Cohere |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("wget 'https://raw.githubusercontent.com/run-llama/... | SimpleDirectoryReader("./data//paul_graham/") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
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=sys.std... | OpenAI(temperature=0, model="gpt-4") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-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' ... | ChatMemoryBuffer.from_defaults(token_limit=1500) | llama_index.core.memory.ChatMemoryBuffer.from_defaults |
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 llama-index')
get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('autoreload', '2')
from pydantic import... | OpenAI(model="gpt-4") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-pinecone')
get_ipython().sy... | TextNode(
text=(
"Rihanna is a Barbadian singer, actress, and businesswoman. She"
" has achieved significant success in the music industry and is"
" known for her versatile musical style."
) | llama_index.core.schema.TextNode |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
from llama_index.core.agent import ReActAgent
from llama_index.llms.openai import OpenAI
from llama_index.core.llms import ChatMessage
from llama_index.core.tools import BaseTool, FunctionTool
d... | ReActAgent.from_tools([multiply_tool, add_tool], llm=llm, verbose=True) | llama_index.core.agent.ReActAgent.from_tools |
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... | Document(text=doc_text) | llama_index.core.Document |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().system('pip install llama-index')
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.core.evaluation.benchmarks import BeirEvaluator
from llama_index.core import VectorStoreIndex
def c... | BeirEvaluator() | llama_index.core.evaluation.benchmarks.BeirEvaluator |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-together')
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-readers-file')
domain = "docs.llam... | SentenceSplitter(chunk_size=512, chunk_overlap=70) | llama_index.core.node_parser.SentenceSplitter |
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 json
from typing import Sequence, List
from llama_index.llms.openai import OpenAI
from llama_index.core.llms import C... | FunctionTool.from_defaults(fn=add) | llama_index.core.tools.FunctionTool.from_defaults |
get_ipython().system('pip install llama-index-multi-modal-llms-anthropic')
get_ipython().system('pip install llama-index-vector-stores-qdrant')
get_ipython().system('pip install matplotlib')
import os
os.environ["ANTHROPIC_API_KEY"] = "" # Your ANTHROPIC API key here
from PIL import Image
import matplotlib.pyplo... | Anthropic() | llama_index.llms.anthropic.Anthropic |
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
from llama_index.agent.openai import OpenAIAgent
from llama_index.llms.openai import OpenAI
from llama_index.core.tools import BaseTool, FunctionTool
def multiply(a: int, b... | FunctionTool.from_defaults(fn=add) | llama_index.core.tools.FunctionTool.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
from llama_index.core.agent import ReActAgent
from llama_index.llms.openai import OpenAI
from llama_index.core.llms import ChatMessage
from llama_index.core.tools import BaseTool, FunctionTool
d... | PromptTemplate(react_system_header_str) | llama_index.core.PromptTemplate |
get_ipython().run_line_magic('pip', 'install llama-index-llms-gemini')
get_ipython().system('pip install -q llama-index google-generativeai')
get_ipython().run_line_magic('env', 'GOOGLE_API_KEY=...')
import os
GOOGLE_API_KEY = "" # add your GOOGLE API key here
os.environ["GOOGLE_API_KEY"] = GOOGLE_API_KEY
f... | Gemini() | llama_index.llms.gemini.Gemini |
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-embeddings-openai')
get_ipython().system('pip install llama-index')
import pinecone
import os
api_key =... | PineconeVectorStore(pinecone_index=pinecone_index) | llama_index.vector_stores.pinecone.PineconeVectorStore |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-graph-stores-kuzu')
import os
os.environ["OPENAI_API_KEY"] = "API_KEY_HERE"
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
import shutil
shutil.... | KuzuGraphStore(db) | llama_index.graph_stores.kuzu.KuzuGraphStore |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
qa_prompt_str = (
"Context information is below.\n"
"---------------------\n"
"{context_str}\n"
"---------------------\n"
"Given the context information and not prior knowledge... | ChatPromptTemplate.from_messages(chat_text_qa_msgs) | llama_index.core.ChatPromptTemplate.from_messages |
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... | 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-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=YOUR_OPENAI_KEY')
... | IndexNode(text=val, index_id=node_id) | llama_index.core.schema.IndexNode |
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-pinecone')
get_ipython().sy... | TokenTextSplitter(chunk_size=1024) | llama_index.core.node_parser.TokenTextSplitter |
get_ipython().run_line_magic('pip', 'install llama-index-readers-github')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-weaviate')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import nest_asyncio
nest_asyncio.apply()
import os
os.environ["GITHUB_TOKEN"] = ""
im... | Document(text=summary_txt, metadata=new_metadata) | llama_index.core.Document |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-myscale')
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 os import environ
im... | ExactMatchFilter(key="user_id", value="123") | llama_index.core.vector_stores.ExactMatchFilter |
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... | OpenAI(temperature=0.1, 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-llms-anthropic')
import nest_asyncio
nest_asyncio.apply()
from llama_index.core import SimpleDirectoryReader, Document
from llama_index.core import SummaryIndex
from llama_index.llms.open... | OpenAI(model="gpt-4-1106-preview") | llama_index.llms.openai.OpenAI |
get_ipython().system('pip install llama-index-multi-modal-llms-ollama')
get_ipython().system('pip install llama-index-readers-file')
get_ipython().system('pip install unstructured')
get_ipython().system('pip install llama-index-embeddings-huggingface')
get_ipython().system('pip install llama-index-vector-stores-qdrant'... | OllamaMultiModal(model="llava:13b") | llama_index.multi_modal_llms.ollama.OllamaMultiModal |
get_ipython().run_line_magic('pip', 'install llama-index-llms-mistralai')
get_ipython().system('pip install llama-index')
from llama_index.llms.mistralai import MistralAI
llm = MistralAI()
resp = llm.complete("Paul Graham is ")
print(resp)
from llama_index.core.llms import ChatMessage
from llama_index.llms... | MistralAI(random_seed=42, safe_mode=True) | llama_index.llms.mistralai.MistralAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
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().handlers = []
logging.getLogger().addHandler(lo... | VectorStoreIndex(nodes, storage_context=storage_context) | llama_index.core.VectorStoreIndex |
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(june_2022) | llama_index.core.VectorStoreIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-question-gen-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
from IPython.display import Markdown, display
def display_prompt_dict(prompts_dict):
for k, p in prompts_dict.items():
text_md = f"**Prompt Key**: {k}<br>... | OpenAIQuestionGenerator.from_defaults(llm=llm) | llama_index.question_gen.openai.OpenAIQuestionGenerator.from_defaults |
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... | PineconeVectorStore(pinecone_index=pinecone_index) | llama_index.vector_stores.pinecone.PineconeVectorStore |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-cohere-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('aut... | Document(text=doc_text) | llama_index.core.Document |
import openai
openai.api_key = "sk-your-key"
from llama_index.agent import OpenAIAgent
from llama_index.tools.bing_search.base import BingSearchToolSpec
bing_tool = | BingSearchToolSpec(api_key="your-key") | llama_index.tools.bing_search.base.BingSearchToolSpec |
get_ipython().run_line_magic('pip', 'install llama-index-multi-modal-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-qdrant')
get_ipython().run_line_magic('pip', 'install llama_index ftfy regex tqdm')
get_ipython().run_line_magic('pip', 'install git+https://github.com/openai/CLIP.... | display_source_node(text_node, source_length=200) | llama_index.core.response.notebook_utils.display_source_node |
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-pinecone')
get_ipython().sy... | TextNode(
text=(
"Elon Musk is a business magnate, industrial designer, and"
" engineer. He is the founder, CEO, and lead designer of SpaceX,"
" Tesla, Inc., Neuralink, and The Boring Company."
) | llama_index.core.schema.TextNode |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-cohere-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import phoenix as px
px.launch_app()
import llama_index.core
llama_index.core.set... | 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-llms-huggingface')
get_ipython().system('pip install llama-index')
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logg... | NERPIINodePostprocessor() | llama_index.core.postprocessor.NERPIINodePostprocessor |
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... | ChromaVectorStore(chroma_collection=chroma_collection) | llama_index.vector_stores.chroma.ChromaVectorStore |
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... | display_response(keyword_response) | llama_index.core.response.notebook_utils.display_response |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-weaviate')
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))
import weaviate
resour... | SimpleDirectoryReader("./data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
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... | OpenAI(model="text-davinci-003") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-agent-openai')
get_ipython().run_line_magic('pip', 'install llama-index-readers-web')
get_ipython().run_line_magic('pip', 'install llama-index-tools-google')
from llama_index.readers.web import SimpleWebPageReader
reader = | SimpleWebPageReader(html_to_text=True) | llama_index.readers.web.SimpleWebPageReader |
get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('autoreload', '2')
from llama_index import download_loader
from base import DocugamiReader
docset_id = "ecxqpipcoe2p"
document_ids = ["43rj0ds7s0ur", "bpc1vibyeke2"]
loader = DocugamiReader()
documents = loader.load_data(docset_id... | VectorStoreIndex.from_documents(documents) | llama_index.VectorStoreIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-readers-slack')
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 Summa... | SummaryIndex.from_documents(documents) | llama_index.core.SummaryIndex.from_documents |
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... | SentenceSplitter(chunk_size=1024) | llama_index.core.node_parser.SentenceSplitter |
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... | QueryPipelineAgentWorker(qp) | llama_index.core.agent.QueryPipelineAgentWorker |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-cohere-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
import phoenix as px
px.launch_app()
import llama_index.core
llama_index.core.set... | OpenAI(model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
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 llama-index')
get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('autoreload', '2')
from pydantic import... | VectorStoreIndex(nodes_2020) | llama_index.core.VectorStoreIndex |
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-redis')
get_ipython().run_line_magic('pip', 'install llama-index-storage-index-store-redis')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
import nest_asyncio
nest_asyn... | VectorStoreIndex(nodes, storage_context=storage_context) | llama_index.core.VectorStoreIndex |
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