互逆重排融合检索器

%pip install llama-index-llms-openai
%pip install llama-index-retrievers-bm25

import os
import openai

os.environ["OPENAI_API_KEY"] = "sk-..."
openai.api_key = os.environ["OPENAI_API_KEY"]

!mkdir -p 'data/paul_graham/'
!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'

--2024-02-12 17:59:58--  https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 2606:50c0:8003::154, 2606:50c0:8001::154, 2606:50c0:8002::154, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|2606:50c0:8003::154|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 75042 (73K) [text/plain]
Saving to: ‘data/paul_graham/paul_graham_essay.txt’

data/paul_graham/pa 100%[===================>]  73.28K   327KB/s    in 0.2s

2024-02-12 17:59:59 (327 KB/s) - ‘data/paul_graham/paul_graham_essay.txt’ saved [75042/75042]

from llama_index.core import SimpleDirectoryReader

documents = SimpleDirectoryReader("./data/paul_graham/").load_data()

from llama_index.core import VectorStoreIndex
from llama_index.core.node_parser import SentenceSplitter

splitter = SentenceSplitter(chunk_size=256)

index = VectorStoreIndex.from_documents(documents, transformations=[splitter])

QUERY_GEN_PROMPT = (
    "You are a helpful assistant that generates multiple search queries based on a "
    "single input query. Generate {num_queries} search queries, one on each line, "
    "related to the following input query:\n"
    "Query: {query}\n"
    "Queries:\n"
)

from llama_index.retrievers.bm25 import BM25Retriever

vector_retriever = index.as_retriever(similarity_top_k=2)

bm25_retriever = BM25Retriever.from_defaults(
    docstore=index.docstore, similarity_top_k=2
)

from llama_index.core.retrievers import QueryFusionRetriever

retriever = QueryFusionRetriever(
    [vector_retriever, bm25_retriever],
    similarity_top_k=2,
    num_queries=4,  # set this to 1 to disable query generation
    mode="reciprocal_rerank",
    use_async=True,
    verbose=True,
    # query_gen_prompt="...",  # we could override the query generation prompt here
)

# apply nested async to run in a notebook
import nest_asyncio

nest_asyncio.apply()

nodes_with_scores = retriever.retrieve(
    "What happened at Interleafe and Viaweb?"
)

Generated queries:
1. What were the major events or milestones in the history of Interleafe and Viaweb?
2. Can you provide a timeline of the key developments and achievements of Interleafe and Viaweb?
3. What were the successes and failures of Interleafe and Viaweb as companies?

for node in nodes_with_scores:
    print(f"Score: {node.score:.2f} - {node.text}...\n-----\n")

Score: 0.03 - The UI was horrible, but it proved you could build a whole store through the browser, without any client software or typing anything into the command line on the server.

Now we felt like we were really onto something. I had visions of a whole new generation of software working this way. You wouldn't need versions, or ports, or any of that crap. At Interleaf there had been a whole group called Release Engineering that seemed to be at least as big as the group that actually wrote the software. Now you could just update the software right on the server.

We started a new company we called Viaweb, after the fact that our software worked via the web, and we got $10,000 in seed funding from Idelle's husband Julian. In return for that and doing the initial legal work and giving us business advice, we gave him 10% of the company. Ten years later this deal became the model for Y Combinator's. We knew founders needed something like this, because we'd needed it ourselves....
-----

Score: 0.03 - Now we felt like we were really onto something. I had visions of a whole new generation of software working this way. You wouldn't need versions, or ports, or any of that crap. At Interleaf there had been a whole group called Release Engineering that seemed to be at least as big as the group that actually wrote the software. Now you could just update the software right on the server.

We started a new company we called Viaweb, after the fact that our software worked via the web, and we got $10,000 in seed funding from Idelle's husband Julian. In return for that and doing the initial legal work and giving us business advice, we gave him 10% of the company. Ten years later this deal became the model for Y Combinator's. We knew founders needed something like this, because we'd needed it ourselves.

At this stage I had a negative net worth, because the thousand dollars or so I had in the bank was more than counterbalanced by what I owed the government in taxes. (Had I diligently set aside the proper proportion of the money I'd made consulting for Interleaf?...
-----

from llama_index.core.query_engine import RetrieverQueryEngine

query_engine = RetrieverQueryEngine.from_args(retriever)

response = query_engine.query("What happened at Interleafe and Viaweb?")

Generated queries:
1. What were the major events or milestones in the history of Interleafe and Viaweb?
2. Can you provide a timeline of the key developments and achievements of Interleafe and Viaweb?
3. What were the outcomes or impacts of Interleafe and Viaweb on the respective industries they operated in?

from llama_index.core.response.notebook_utils import display_response

display_response(response)