prompt stringlengths 70 19.8k | completion stringlengths 8 1.03k | api stringlengths 23 93 |
|---|---|---|
get_ipython().run_line_magic('pip', 'install llama-index-readers-web')
get_ipython().run_line_magic('pip', 'install llama-index-program-openai')
import nest_asyncio
nest_asyncio.apply()
import os
import openai
os.environ["OPENAI_API_KEY"] = "YOUR_API_KEY"
openai.api_key = os.getenv("OPENAI_API_KEY")
from pydan... | SentenceSplitter(chunk_size=1024) | llama_index.core.node_parser.SentenceSplitter |
get_ipython().run_line_magic('pip', 'install llama-index-llms-fireworks')
get_ipython().run_line_magic('pip', 'install llama-index')
from llama_index.llms.fireworks import Fireworks
resp = Fireworks().complete("Paul Graham is ")
print(resp)
from llama_index.core.llms import ChatMessage
from llama_index.llms... | ChatMessage(role="user", content="What is your name") | llama_index.core.llms.ChatMessage |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-chroma')
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 getpass
... | VectorStoreIndex(nodes, storage_context=storage_context) | llama_index.core.VectorStoreIndex |
get_ipython().run_line_magic('pip', 'install llama-index-llms-vllm')
import os
os.environ["HF_HOME"] = "model/"
from llama_index.llms.vllm import Vllm
llm = Vllm(
model="microsoft/Orca-2-7b",
tensor_parallel_size=4,
max_new_tokens=100,
vllm_kwargs={"swap_space": 1, "gpu_memory_utilization": 0.5},... | ChatMessage(content="what is a black hole", author="user") | llama_index.core.llms.ChatMessage |
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... | IngestionPipeline(transformations=transformations) | llama_index.core.ingestion.IngestionPipeline |
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... | 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')
import os
import openai
os.environ["OPENAI_API_KEY"] = "sk-.."
openai.api_key = os.environ["OPENAI_API_KEY"]
from IPython.display import Markdown, display
from sqlalchemy import (
cre... | display_source_node(n, show_source_metadata=True) | 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-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-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... | PromptTemplate(prompt_str) | llama_index.core.PromptTemplate |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
from llama_index.core.evaluation import CorrectnessEvaluator
from llama_index.llms.openai import OpenAI
llm = | OpenAI("gpt-4") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-llama-cpp')
get_ipython().system('pip install llama-index lm-format-enforcer llama-cpp-python')
import lmformatenforcer
import re
from llama_index.core.prompts.lmformatenforcer_utils import (
activate_lm_format_enforcer,
build_lm_format_enforcer... | activate_lm_format_enforcer(llm, lm_format_enforcer_fn) | llama_index.core.prompts.lmformatenforcer_utils.activate_lm_format_enforcer |
get_ipython().run_line_magic('pip', 'install llama-index-retrievers-you')
from llama_index.retrievers.you import YouRetriever
you_api_key = "" or os.environ["YOU_API_KEY"]
retriever = | YouRetriever(api_key=you_api_key) | llama_index.retrievers.you.YouRetriever |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-supabase')
get_ipython().system('pip install llama-index')
import logging
import sys
from llama_index.core import SimpleDirectoryReader, Document, StorageContext
from llama_index.core import VectorStoreIndex
from llama_index.vector_stores.supa... | VectorStoreIndex(nodes, storage_context=storage_context) | llama_index.core.VectorStoreIndex |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
import nest_asyncio
nest_asyncio.apply()
from llama_index.embeddings.huggingface import (
HuggingFaceEmbedding,
HuggingFaceInferenceAPIEmbedding,
)... | 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()
get_ipython().system("wget 'https://raw.githubusercontent.com/jerryjliu/llama_index/main/examples/gatsby/gatsby_full.txt' -O 'gatsby_full.txt'")
fro... | OpenAI(model="gpt-3.5-turbo") | llama_index.llms.openai.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.stdout))
from llama_index.core import (
VectorStoreIndex,
SimpleDir... | SimpleToolNodeMapping.from_objects([list_tool, vector_tool]) | llama_index.core.objects.SimpleToolNodeMapping.from_objects |
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... | OpenAI(temperature=0, model="gpt-4") | llama_index.llms.openai.OpenAI |
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=False) | llama_index.llms.mistralai.MistralAI |
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 logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout... | 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-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... | RetrieverQueryEngine.from_args(recursive_retriever) | llama_index.core.query_engine.RetrieverQueryEngine.from_args |
import openai
openai.api_key = "sk-your-key"
import json
from graphql import parse
with open("data/shopify_graphql.txt", "r") as f:
txt = f.read()
ast = parse(txt)
query_root_node = next(
(
defn
for defn in ast.definitions
if defn.kind == "object_type_definition" and defn.name.val... | ShopifyToolSpec("your-store.myshopify.com", "2023-04", "your-key") | llama_index.tools.shopify.base.ShopifyToolSpec |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
from llama_index.readers.file import PDFReader
reader = PDFReader()
get_ipython().system... | OpenAI(model="gpt-4") | llama_index.llms.openai.OpenAI |
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... | OpenAI() | 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().system('pip install llama-index')
import nest_asyncio
nest_asyncio.apply()
import os
import openai
from llama_index.core import set_global_handler
set_glob... | VectorStoreIndex(orig_nodes[:20] + nodes_1 + orig_nodes[28:]) | llama_index.core.VectorStoreIndex |
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... | VectorStoreIndex(nodes, storage_context=storage_context) | llama_index.core.VectorStoreIndex |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
from llama_index.core.evaluation import GuidelineEvaluator
from llama_index.llms.openai import OpenAI
import nest_asyncio
nest_asyncio.apply()
GUIDELINES = [
"The response should fully answ... | GuidelineEvaluator(llm=llm, guidelines=guideline) | llama_index.core.evaluation.GuidelineEvaluator |
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.... | PromptTemplate(qa_tmpl_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-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... | display_response(response) | llama_index.core.response.notebook_utils.display_response |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-chroma')
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 getpass
o... | 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-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... | BatchEvalRunner(evaluator_dict, workers=2, show_progress=True) | llama_index.core.evaluation.BatchEvalRunner |
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... | SummaryIndex(nodes, storage_context=storage_context) | llama_index.core.SummaryIndex |
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="text-bison", temperature=0, additional_kwargs={}) | llama_index.llms.vertex.Vertex |
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.core.postprocessor import TimeWeightedPostprocessor
from llama_index.core.node_parser import SentenceSplitter
from llama_index.core.storage.docstore import SimpleDocumentStore
from llama_index.core.response.notebook_utils import displ... | Settings.text_splitter.get_nodes_from_documents([doc1]) | llama_index.core.Settings.text_splitter.get_nodes_from_documents |
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... | OpenAI(model="gpt-3.5-turbo", temperature=0.3) | llama_index.llms.openai.OpenAI |
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... | OpenAI(temperature=0, model="gpt-4") | llama_index.llms.openai.OpenAI |
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... | EmbeddingSingleSelector.from_defaults(embed_model=ft_embed_model) | llama_index.core.selectors.EmbeddingSingleSelector.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-redis')
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-mongodb')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().system('mkdir -p data')
get_ipython().system('echo "This... | SentenceSplitter() | llama_index.core.node_parser.SentenceSplitter |
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... | VectorStoreIndex(nodes[:39], callback_manager=callback_manager) | llama_index.core.VectorStoreIndex |
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... | GradientAIFineTuningHandler() | llama_index.core.callbacks.GradientAIFineTuningHandler |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
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' -O pg_essay.txt")
from llama_index.core import SimpleDirec... | TreeSummarize(llm=llm) | llama_index.core.response_synthesizers.TreeSummarize |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-neo4jvector')
get_ipython().system('pip install llama-index')
import os
import openai
os.environ["OPENAI_API_KEY"] = "OPENAI_API_KEY"
openai.api_key = os.environ["OPENAI_API_KEY"]
from llama_index.vector_stores.neo4jvector import Neo4jVector... | Neo4jVectorStore(username, password, url, embed_dim) | llama_index.vector_stores.neo4jvector.Neo4jVectorStore |
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... | SimpleDirectoryReader("./data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('wget "https://github.com/ppasupat/WikiTableQuestions/releases/download/v1.0.2/WikiTableQuestions-1.0.2-compact.zip" -O data.zip')
get_ipython().system('unzip data.zip')
import pandas as pd
from pathlib import Path
data_dir... | SQLTableNodeMapping(sql_database) | llama_index.core.objects.SQLTableNodeMapping |
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... | StorageContext.from_defaults(vector_store=vector_store) | llama_index.core.StorageContext.from_defaults |
get_ipython().run_line_magic('pip', 'install llama-index-storage-docstore-dynamodb')
get_ipython().run_line_magic('pip', 'install llama-index-storage-index-store-dynamodb')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-dynamodb')
get_ipython().run_line_magic('pip', 'install llama-index-llms-ope... | display_response(vector_response) | llama_index.core.response.notebook_utils.display_response |
get_ipython().run_line_magic('pip', 'install llama-index-readers-elasticsearch')
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-opensearch')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-ollama')
get_ipython().system("mkdir -p 'data/paul_graham/'")
get_ipython().system("w... | OllamaEmbedding(model_name="llama2") | llama_index.embeddings.ollama.OllamaEmbedding |
get_ipython().run_line_magic('pip', 'install llama-index-readers-wikipedia')
get_ipython().system('pip install llama-index')
import time
import nest_asyncio
nest_asyncio.apply()
import os
os.environ["OPENAI_API_KEY"] = "[YOUR_API_KEY]"
from llama_index.core import VectorStoreIndex, download_loader
from llama... | WikipediaReader() | llama_index.readers.wikipedia.WikipediaReader |
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().system('mkdir data')
get_ipython().system('wget --user-agent "Mozilla" "https://arxiv.org/pdf/2307.09288.pdf" -O "data/llama2.pdf"')
from pathlib import ... | TextNode(id_="id2", text="foo bar") | llama_index.core.schema.TextNode |
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... | RetrieverQueryEngine.from_args(retriever) | llama_index.core.query_engine.RetrieverQueryEngine.from_args |
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... | OpenAI(model="gpt-4-0613", temperature=0) | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('wget "https://github.com/ppasupat/WikiTableQuestions/releases/download/v1.0.2/WikiTableQuestions-1.0.2-compact.zip" -O data.zip')
get_ipython().system('unzip data.zip')
import pandas as pd
from pathlib import Path
data_dir... | InputComponent() | llama_index.core.query_pipeline.InputComponent |
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... | CorrectnessEvaluator(llm=gpt_3p5_llm) | llama_index.core.evaluation.CorrectnessEvaluator |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
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('pip -q install... | PineconeVectorStore(pinecone_index=pinecone_index) | llama_index.vector_stores.pinecone.PineconeVectorStore |
get_ipython().run_line_magic('pip', 'install llama-index-postprocessor-rankgpt-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().run_line_magic('pip', 'install llama-index-packs-infer-retrieve-rerank')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai... | PromptTemplate(infer_prompt_str) | llama_index.core.PromptTemplate |
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>... | OpenAI() | 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-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... | VectorStoreIndex(nodes, storage_context=storage_context) | llama_index.core.VectorStoreIndex |
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... | NodeWithScore(node=node, score=score) | llama_index.core.schema.NodeWithScore |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-tair')
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 (
G... | 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-vector-stores-weaviate')
get_ipython().system('pip install llama-index')
import nest_asyncio
nest_asyncio.apply()
import logging
import sys
from llama_index.core import SimpleDirectoryR... | SentenceSplitter(chunk_size=256) | llama_index.core.node_parser.SentenceSplitter |
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... | BatchEvalRunner(evaluator_dict, workers=2, show_progress=True) | llama_index.core.evaluation.BatchEvalRunner |
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... | StorageContext.from_defaults() | llama_index.core.StorageContext.from_defaults |
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... | OpenAI(model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
get_ipython().system('pip install llama-index')
from llama_index.core.chat_engine import SimpleChatEngine
chat_engine = SimpleChatEngine.from_defaults()
response = chat_engine.chat(
"Say something profound and romantic about fourth of July"
)
print(response)
from llama_index.core.chat_engine import SimpleCha... | SimpleChatEngine.from_defaults(system_prompt=IRS_TAX_CHATBOT) | llama_index.core.chat_engine.SimpleChatEngine.from_defaults |
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... | WikipediaReader() | llama_index.readers.wikipedia.WikipediaReader |
get_ipython().system('pip install -q llama-index llama-index-vector-stores-mongodb llama-index-embeddings-fireworks==0.1.2 llama-index-llms-fireworks')
get_ipython().system('pip install -q pymongo datasets pandas')
import os
import getpass
fw_api_key = getpass.getpass("Fireworks API Key:")
os.environ["FIREWORKS_API_... | display_response(response) | llama_index.core.response.notebook_utils.display_response |
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 logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout... | LLMRerank() | llama_index.core.postprocessor.LLMRerank |
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.stdout))
from llama_index.core import (
VectorStoreIndex,
SimpleDir... | SimpleDirectoryReader("./data/paul_graham") | llama_index.core.SimpleDirectoryReader |
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>... | 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-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... | QdrantVectorStore(client=client, collection_name="collection") | llama_index.vector_stores.qdrant.QdrantVectorStore |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
import nest_asyncio
nest_asyncio.apply()
from llama_index.embeddings.huggingface import (
HuggingFaceEmbedding,
HuggingFaceInferenceAPIEmbedding,
)... | OpenAIEmbedding() | llama_index.embeddings.openai.OpenAIEmbedding |
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... | MetadataFilter(key=k, value=v, operator=op) | llama_index.core.vector_stores.MetadataFilter |
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... | SQLDatabase(engine, include_tables=["city_stats"]) | llama_index.core.SQLDatabase |
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-readers-file')
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('mkdir data')
get_ipython().system('wget --user-agent "Mozilla" "https://arxiv.org/pdf/2307.09288.pdf" -O "data/llama2.pdf"')
from pathlib import Path
f... | PromptTemplate(
"Please tell if a given piece of information "
"is supported by the context.\n"
"You need to answer with either YES or NO.\n"
"Answer YES if any of the context supports the information, even "
"if most of the context is unrelated. "
"Some examples are provided below. \n\n"
"I... | llama_index.core.PromptTemplate |
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... | PromptTemplate(qa_tmpl_str) | llama_index.core.PromptTemplate |
get_ipython().run_line_magic('pip', 'install llama-index-llms-together')
get_ipython().system('pip install llama-index')
from llama_index.llms.together import TogetherLLM
llm = TogetherLLM(
model="mistralai/Mixtral-8x7B-Instruct-v0.1", api_key="your_api_key"
)
resp = llm.complete("Who is Paul Graham?")
p... | ChatMessage(role="user", content="What is your name") | llama_index.core.llms.ChatMessage |
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... | VectorStoreIndex.from_documents(documents) | llama_index.core.VectorStoreIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-huggingface')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
import nest_asyncio
nest_asyncio.apply()
from llama_index.embeddings.huggingface import (
HuggingFaceEmbedding,
HuggingFaceInferenceAPIEmbedding,
)... | display_source_node(n, source_length=2000) | llama_index.core.response.notebook_utils.display_source_node |
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_line_magic('pip', 'install llama-index-finetuning')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-cohere')
get_ipython()... | 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("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' -O pg_essay.txt")
from llama_index.core import SimpleDirec... | PromptTemplate(hyde_str) | llama_index.core.PromptTemplate |
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' ... | SimpleDirectoryReader(input_dir="./data/paul_graham/") | llama_index.core.SimpleDirectoryReader |
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_... | OpenAI(temperature=0, model="gpt-3.5-turbo") | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
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' -O pg_essay.txt")
from llama_index.core import SimpleDirec... | SentenceSplitter(chunk_size=chunk_size, chunk_overlap=0) | llama_index.core.node_parser.SentenceSplitter |
get_ipython().run_line_magic('pip', 'install llama-index-readers-file')
get_ipython().system('pip install llama-index')
from llama_index.core.node_parser import SimpleFileNodeParser
from llama_index.readers.file import FlatReader
from pathlib import Path
reader = FlatReader()
html_file = reader.load_data(Path("./... | SentenceSplitter(chunk_size=200, chunk_overlap=0) | llama_index.core.node_parser.SentenceSplitter |
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')... | serialize_table(df) | llama_index.packs.tables.chain_of_table.base.serialize_table |
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("... | pprint_response(response) | llama_index.core.pprint_response |
get_ipython().run_line_magic('pip', 'install llama-index-llms-anthropic')
get_ipython().system('pip install llama-index')
from llama_index.llms.anthropic import Anthropic
from llama_index.core import Settings
tokenizer = Anthropic().tokenizer
Settings.tokenizer = tokenizer
import os
os.environ["ANTHROPIC_API_... | Anthropic(model="claude-3-opus-20240229") | llama_index.llms.anthropic.Anthropic |
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... | QueryBundle(query_str=query_str) | llama_index.core.QueryBundle |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().system('pip install llama-index')
from llama_index.core.evaluation.benchmarks import HotpotQAEvaluator
from llama_index.core import VectorStoreIndex
from llama_index.core import Document
from llama_index.llms.openai import OpenAI
f... | HotpotQAEvaluator() | llama_index.core.evaluation.benchmarks.HotpotQAEvaluator |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
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().system('pip install llama-index qdrant_client pyMuPDF tools frontend g... | display_source_node(res_node, source_length=1000) | llama_index.core.response.notebook_utils.display_source_node |
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="single") | llama_index.llms.portkey.Portkey |
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... | SemanticSimilarityEvaluator() | llama_index.core.evaluation.SemanticSimilarityEvaluator |
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... | PromptTemplate(prompt_str) | llama_index.core.PromptTemplate |
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... | SummaryIndex.from_documents(city_docs[wiki_title]) | llama_index.core.SummaryIndex.from_documents |
get_ipython().run_line_magic('pip', 'install llama-index-llms-watsonx')
from llama_index.llms.watsonx import WatsonX
credentials = {
"url": "https://enter.your-ibm.url",
"apikey": "insert_your_api_key",
}
project_id = "insert_your_project_id"
resp = WatsonX(credentials=credentials, project_id=project_id).c... | ChatMessage(role="user", content="Tell me a story") | llama_index.core.llms.ChatMessage |
get_ipython().run_line_magic('pip', 'install llama-index-llms-fireworks')
get_ipython().run_line_magic('pip', 'install llama-index')
from llama_index.llms.fireworks import Fireworks
resp = Fireworks().complete("Paul Graham is ")
print(resp)
from llama_index.core.llms import ChatMessage
from llama_index.llms... | Fireworks() | llama_index.llms.fireworks.Fireworks |
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... | OpenAI(model="gpt-4-0613", temperature=0) | llama_index.llms.openai.OpenAI |
get_ipython().run_line_magic('pip', 'install llama-index-vector-stores-weaviate')
get_ipython().run_line_magic('pip', 'install llama-index-embeddings-openai')
get_ipython().system('pip install llama-index')
import weaviate
client = weaviate.Client("https://test-cluster-bbn8vqsn.weaviate.network")
try:
cli... | VectorStoreIndex.from_vector_store(vector_store) | llama_index.core.VectorStoreIndex.from_vector_store |
get_ipython().run_line_magic('pip', 'install llama-index-llms-openai')
get_ipython().run_line_magic('pip', 'install llama-index-program-openai')
get_ipython().run_line_magic('pip', 'install llama-index')
from pydantic import BaseModel
from typing import List
from llama_index.program.openai import OpenAIPydanticPro... | OpenAI(model="gpt-3.5-turbo-1106") | 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... | QdrantVectorStore("composable", client=client) | llama_index.vector_stores.qdrant.QdrantVectorStore |
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