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templates: update qdrant self query (#19218)
## Description This PR - Updates the Qdrant self-query template to reflect the recent updates. - Enables reading config values from `env` files as the README [mentions it](https://github.com/Anush008/langchain/tree/self-query-qdrant/templates/self-query-qdrant#environment-setup). Co-authored-by: Erick Friis <erick@langchain.dev>
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templates/self-query-qdrant/poetry.lock
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templates/self-query-qdrant/poetry.lock
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@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
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# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
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[[package]]
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[[package]]
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name = "aiohttp"
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name = "aiohttp"
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@ -939,6 +939,22 @@ tenacity = ">=8.1.0,<9.0.0"
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[package.extras]
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[package.extras]
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extended-testing = ["jinja2 (>=3,<4)"]
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extended-testing = ["jinja2 (>=3,<4)"]
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[[package]]
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name = "langchain-openai"
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version = "0.0.8"
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description = "An integration package connecting OpenAI and LangChain"
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optional = false
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python-versions = ">=3.8.1,<4.0"
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files = [
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{file = "langchain_openai-0.0.8-py3-none-any.whl", hash = "sha256:4862fc72cecbee0240aaa6df0234d5893dd30cd33ca23ac5cfdd86c11d2c44df"},
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{file = "langchain_openai-0.0.8.tar.gz", hash = "sha256:b7aba7fcc52305e78b08197ebc54fc45cc06dbc40ba5b913bc48a22b30a4f5c9"},
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]
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[package.dependencies]
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langchain-core = ">=0.1.27,<0.2.0"
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openai = ">=1.10.0,<2.0.0"
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tiktoken = ">=0.5.2,<1"
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[[package]]
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[[package]]
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name = "langchain-text-splitters"
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name = "langchain-text-splitters"
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version = "0.0.1"
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version = "0.0.1"
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@ -2207,4 +2223,4 @@ multidict = ">=4.0"
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[metadata]
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[metadata]
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lock-version = "2.0"
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lock-version = "2.0"
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python-versions = ">=3.9,<3.13"
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python-versions = ">=3.9,<3.13"
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content-hash = "a50f00122a31808a22a6301cbd6b2f6f9db67bae3305c93a69e6d7ee451df628"
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content-hash = "0dacdc7b4d1ed6ebdfd86b15135142c3d4ed8d8728dd9cc09c8504aff590917e"
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@ -10,10 +10,10 @@ packages = [{include = "self_query_qdrant"}]
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[tool.poetry.dependencies]
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[tool.poetry.dependencies]
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python = ">=3.9,<3.13"
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python = ">=3.9,<3.13"
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langchain = "^0.1"
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langchain = "^0.1"
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openai = "<2"
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qdrant-client = ">=1.6"
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qdrant-client = ">=1.6"
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lark = "^1.1.8"
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lark = "^1.1.8"
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tiktoken = "^0.5.1"
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tiktoken = "^0.5.1"
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langchain-openai = "^0.0.8"
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[tool.poetry.group.dev.dependencies]
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[tool.poetry.group.dev.dependencies]
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langchain-cli = ">=0.0.21"
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langchain-cli = ">=0.0.21"
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@ -3,14 +3,14 @@ from typing import List, Optional
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from langchain.chains.query_constructor.schema import AttributeInfo
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from langchain.chains.query_constructor.schema import AttributeInfo
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from langchain.retrievers import SelfQueryRetriever
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from langchain.retrievers import SelfQueryRetriever
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from langchain_community.embeddings import OpenAIEmbeddings
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from langchain_community.llms import BaseLLM
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from langchain_community.llms import BaseLLM
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from langchain_community.llms.openai import OpenAI
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from langchain_community.vectorstores.qdrant import Qdrant
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from langchain_community.vectorstores.qdrant import Qdrant
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from langchain_core.documents import Document, StrOutputParser
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from langchain_core.documents import Document
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from langchain_core.embeddings import Embeddings
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from langchain_core.embeddings import Embeddings
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from langchain_core.output_parsers.string import StrOutputParser
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from langchain_core.pydantic_v1 import BaseModel
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from langchain_core.pydantic_v1 import BaseModel
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from langchain_core.runnables import RunnableParallel, RunnablePassthrough
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from langchain_core.runnables import RunnableParallel, RunnablePassthrough
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from langchain_openai import OpenAI, OpenAIEmbeddings
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from qdrant_client import QdrantClient
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from qdrant_client import QdrantClient
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from self_query_qdrant import defaults, helper, prompts
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from self_query_qdrant import defaults, helper, prompts
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@ -84,7 +84,11 @@ def initialize(
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# Set up a vector store to store your vectors and metadata
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# Set up a vector store to store your vectors and metadata
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Qdrant.from_documents(
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Qdrant.from_documents(
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documents, embedding=embeddings, collection_name=collection_name
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documents,
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embedding=embeddings,
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collection_name=collection_name,
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url=os.environ.get("QDRANT_URL", "http://localhost:6333"),
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api_key=os.environ.get("QDRANT_API_KEY"),
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)
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)
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