채팅 기록을 기억하고, 이해하고, 데이터를 추출합니다. 개인화된 AI 경험을 제공합니다.
Zep은 AI Assistant 앱을 위한 장기 메모리 서비스입니다. Zep을 사용하면 AI assistant가 아무리 오래된 대화라도 과거 대화를 기억할 수 있도록 하면서 환각, 지연 시간 및 비용을 줄일 수 있습니다.
Zep Cloud에 관심이 있으신가요? Zep Cloud 설치 가이드와 Zep Cloud Vector Store 예제를 참조하세요
Open Source 설치 및 설정
Zep Open Source 프로젝트: https://github.com/getzep/zep Zep Open Source 문서: https://docs.getzep.com/이 integration을 사용하려면
pip install -qU langchain-community로 langchain-community를 설치해야 합니다
사용법
아래 예제에서는 Zep의 auto-embedding 기능을 사용하여 Zep 서버에서 저지연 embedding 모델을 사용해 문서를 자동으로 embedding합니다.참고
- 이 예제들은 Zep의 async interface를 사용합니다. 메서드 이름에서
a접두사를 제거하여 sync interface를 호출하세요. Embeddings인스턴스를 전달하면 Zep은 문서를 자동으로 embedding하는 대신 이를 사용하여 문서를 embedding합니다. 문서 collection을isAutoEmbedded === false로 설정해야 합니다.- collection을
isAutoEmbedded === false로 설정하면Embeddings인스턴스를 전달해야 합니다.
문서에서 Collection 로드 또는 생성
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from uuid import uuid4
from langchain_community.document_loaders import WebBaseLoader
from langchain_community.vectorstores import ZepVectorStore
from langchain_community.vectorstores.zep import CollectionConfig
from langchain_text_splitters import RecursiveCharacterTextSplitter
ZEP_API_URL = "http://localhost:8000" # this is the API url of your Zep instance
ZEP_API_KEY = "<optional_key>" # optional API Key for your Zep instance
collection_name = f"babbage{uuid4().hex}" # a unique collection name. alphanum only
# Collection config is needed if we're creating a new Zep Collection
config = CollectionConfig(
name=collection_name,
description="<optional description>",
metadata={"optional_metadata": "associated with the collection"},
is_auto_embedded=True, # we'll have Zep embed our documents using its low-latency embedder
embedding_dimensions=1536, # this should match the model you've configured Zep to use.
)
# load the document
article_url = "https://www.gutenberg.org/cache/epub/71292/pg71292.txt"
loader = WebBaseLoader(article_url)
documents = loader.load()
# split it into chunks
text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
docs = text_splitter.split_documents(documents)
# Instantiate the VectorStore. Since the collection does not already exist in Zep,
# it will be created and populated with the documents we pass in.
vs = ZepVectorStore.from_documents(
docs,
collection_name=collection_name,
config=config,
api_url=ZEP_API_URL,
api_key=ZEP_API_KEY,
embedding=None, # we'll have Zep embed our documents using its low-latency embedder
)
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# wait for the collection embedding to complete
async def wait_for_ready(collection_name: str) -> None:
import time
from zep_python import ZepClient
client = ZepClient(ZEP_API_URL, ZEP_API_KEY)
while True:
c = await client.document.aget_collection(collection_name)
print(
"Embedding status: "
f"{c.document_embedded_count}/{c.document_count} documents embedded"
)
time.sleep(1)
if c.status == "ready":
break
await wait_for_ready(collection_name)
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Embedding status: 0/401 documents embedded
Embedding status: 0/401 documents embedded
Embedding status: 0/401 documents embedded
Embedding status: 0/401 documents embedded
Embedding status: 0/401 documents embedded
Embedding status: 0/401 documents embedded
Embedding status: 401/401 documents embedded
Collection에 대한 유사도 검색 쿼리
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# query it
query = "what is the structure of our solar system?"
docs_scores = await vs.asimilarity_search_with_relevance_scores(query, k=3)
# print results
for d, s in docs_scores:
print(d.page_content, " -> ", s, "\n====\n")
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the positions of the two principal planets, (and these the most
necessary for the navigator,) Jupiter and Saturn, require each not less
than one hundred and sixteen tables. Yet it is not only necessary to
predict the position of these bodies, but it is likewise expedient to
tabulate the motions of the four satellites of Jupiter, to predict the
exact times at which they enter his shadow, and at which their shadows
cross his disc, as well as the times at which they are interposed -> 0.9003241539387915
====
furnish more than a small fraction of that aid to navigation (in the
large sense of that term), which, with greater facility, expedition, and
economy in the calculation and printing of tables, it might be made to
supply.
Tables necessary to determine the places of the planets are not less
necessary than those for the sun, moon, and stars. Some notion of the
number and complexity of these tables may be formed, when we state that -> 0.8911165633479508
====
the scheme of notation thus applied, immediately suggested the
advantages which must attend it as an instrument for expressing the
structure, operation, and circulation of the animal system; and we
entertain no doubt of its adequacy for that purpose. Not only the
mechanical connexion of the solid members of the bodies of men and
animals, but likewise the structure and operation of the softer parts,
including the muscles, integuments, membranes, &c. the nature, motion, -> 0.8899750214770481
====
MMR로 재순위된 Collection 검색
Zep은 검색 결과의 네이티브 하드웨어 가속 MMR 재순위를 제공합니다.Copy
query = "what is the structure of our solar system?"
docs = await vs.asearch(query, search_type="mmr", k=3)
for d in docs:
print(d.page_content, "\n====\n")
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the positions of the two principal planets, (and these the most
necessary for the navigator,) Jupiter and Saturn, require each not less
than one hundred and sixteen tables. Yet it is not only necessary to
predict the position of these bodies, but it is likewise expedient to
tabulate the motions of the four satellites of Jupiter, to predict the
exact times at which they enter his shadow, and at which their shadows
cross his disc, as well as the times at which they are interposed
====
the scheme of notation thus applied, immediately suggested the
advantages which must attend it as an instrument for expressing the
structure, operation, and circulation of the animal system; and we
entertain no doubt of its adequacy for that purpose. Not only the
mechanical connexion of the solid members of the bodies of men and
animals, but likewise the structure and operation of the softer parts,
including the muscles, integuments, membranes, &c. the nature, motion,
====
resistance, economizing time, harmonizing the mechanism, and giving to
the whole mechanical action the utmost practical perfection.
The system of mechanical contrivances by which the results, here
attempted to be described, are attained, form only one order of
expedients adopted in this machinery;--although such is the perfection
of their action, that in any ordinary case they would be regarded as
having attained the ends in view with an almost superfluous degree of
====
Metadata로 필터링
metadata filter를 사용하여 결과를 좁힙니다. 먼저 다른 책을 로드합니다: “Adventures of Sherlock Holmes”Copy
# Let's add more content to the existing Collection
article_url = "https://www.gutenberg.org/files/48320/48320-0.txt"
loader = WebBaseLoader(article_url)
documents = loader.load()
# split it into chunks
text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
docs = text_splitter.split_documents(documents)
await vs.aadd_documents(docs)
await wait_for_ready(collection_name)
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Embedding status: 401/1691 documents embedded
Embedding status: 401/1691 documents embedded
Embedding status: 401/1691 documents embedded
Embedding status: 401/1691 documents embedded
Embedding status: 401/1691 documents embedded
Embedding status: 401/1691 documents embedded
Embedding status: 901/1691 documents embedded
Embedding status: 901/1691 documents embedded
Embedding status: 901/1691 documents embedded
Embedding status: 901/1691 documents embedded
Embedding status: 901/1691 documents embedded
Embedding status: 901/1691 documents embedded
Embedding status: 1401/1691 documents embedded
Embedding status: 1401/1691 documents embedded
Embedding status: 1401/1691 documents embedded
Embedding status: 1401/1691 documents embedded
Embedding status: 1691/1691 documents embedded
source metadata를 확인하세요
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query = "Was he interested in astronomy?"
docs = await vs.asearch(query, search_type="similarity", k=3)
for d in docs:
print(d.page_content, " -> ", d.metadata, "\n====\n")
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or remotely, for this purpose. But in addition to these, a great number
of tables, exclusively astronomical, are likewise indispensable. The
predictions of the astronomer, with respect to the positions and motions
of the bodies of the firmament, are the means, and the only means, which
enable the mariner to prosecute his art. By these he is enabled to
discover the distance of his ship from the Line, and the extent of his -> {'source': 'https://www.gutenberg.org/cache/epub/71292/pg71292.txt'}
====
possess all knowledge which is likely to be useful to him in his work,
and this I have endeavored in my case to do. If I remember rightly, you
on one occasion, in the early days of our friendship, defined my limits
in a very precise fashion.”
“Yes,” I answered, laughing. “It was a singular document. Philosophy,
astronomy, and politics were marked at zero, I remember. Botany
variable, geology profound as regards the mud-stains from any region -> {'source': 'https://www.gutenberg.org/files/48320/48320-0.txt'}
====
of astronomy, and its kindred sciences, with the various arts dependent
on them. In none are computations more operose than those which
astronomy in particular requires;--in none are preparatory facilities
more needful;--in none is error more detrimental. The practical
astronomer is interrupted in his pursuit, and diverted from his task of
observation by the irksome labours of computation, or his diligence in
observing becomes ineffectual for want of yet greater industry of -> {'source': 'https://www.gutenberg.org/cache/epub/71292/pg71292.txt'}
====
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filter = {
"where": {
"jsonpath": (
"$[*] ? (@.source == 'https://www.gutenberg.org/files/48320/48320-0.txt')"
)
},
}
docs = await vs.asearch(query, search_type="similarity", metadata=filter, k=3)
for d in docs:
print(d.page_content, " -> ", d.metadata, "\n====\n")
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possess all knowledge which is likely to be useful to him in his work,
and this I have endeavored in my case to do. If I remember rightly, you
on one occasion, in the early days of our friendship, defined my limits
in a very precise fashion.”
“Yes,” I answered, laughing. “It was a singular document. Philosophy,
astronomy, and politics were marked at zero, I remember. Botany
variable, geology profound as regards the mud-stains from any region -> {'source': 'https://www.gutenberg.org/files/48320/48320-0.txt'}
====
the light shining upon his strong-set aquiline features. So he sat as I
dropped off to sleep, and so he sat when a sudden ejaculation caused me
to wake up, and I found the summer sun shining into the apartment. The
pipe was still between his lips, the smoke still curled upward, and the
room was full of a dense tobacco haze, but nothing remained of the heap
of shag which I had seen upon the previous night.
“Awake, Watson?” he asked.
“Yes.”
“Game for a morning drive?” -> {'source': 'https://www.gutenberg.org/files/48320/48320-0.txt'}
====
“I glanced at the books upon the table, and in spite of my ignorance
of German I could see that two of them were treatises on science, the
others being volumes of poetry. Then I walked across to the window,
hoping that I might catch some glimpse of the country-side, but an oak
shutter, heavily barred, was folded across it. It was a wonderfully
silent house. There was an old clock ticking loudly somewhere in the
passage, but otherwise everything was deadly still. A vague feeling of -> {'source': 'https://www.gutenberg.org/files/48320/48320-0.txt'}
====
Connect these docs programmatically to Claude, VSCode, and more via MCP for real-time answers.