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https://github.com/hwchase17/langchain.git
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various templates improvements (#12500)
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@@ -20,9 +20,12 @@ Create a free trial account on [Elastic Cloud](https://cloud.elastic.co/registra
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With a deployment, update the connection string.
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Password and connection (elasticsearch url) can be found on the deployment console.
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Password and connection (elasticsearch url) can be found on the deployment console. Th
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```bash
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> export ELASTIC_SEARCH_SERVER="https://elastic:<password>@<es-url>"
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## Populating with data
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If you want to populate the DB with some example info, you can run `python ingest.py`.
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This will create a `customers` index.
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In the chain, we specify indexes to generate queries against, and we specify `["customers"]`.
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This is specific to setting up your Elastic index in this
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@@ -1,26 +1,47 @@
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import os
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from pathlib import Path
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from elasticsearch import Elasticsearch
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from langchain.chat_models import ChatOpenAI
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from langchain.output_parsers.json import SimpleJsonOutputParser
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from langchain.pydantic_v1 import BaseModel
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from .elastic_index_info import get_indices_infos
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from .prompts import DSL_PROMPT
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es_host = os.environ["ELASTIC_SEARCH_SERVER"]
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es_password = os.environ["ELASTIC_PASSWORD"]
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# Setup Elasticsearch
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# This shows how to set it up for a cloud hosted version
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# Password for the 'elastic' user generated by Elasticsearch
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ELASTIC_PASSWORD = "..."
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# Found in the 'Manage Deployment' page
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CLOUD_ID = "..."
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# Create the client instance
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db = Elasticsearch(
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es_host,
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http_auth=('elastic', es_password),
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ca_certs=Path(__file__).parents[1] / 'http_ca.crt' # Replace with your actual path
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cloud_id=CLOUD_ID,
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basic_auth=("elastic", ELASTIC_PASSWORD)
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)
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# Specify indices to include
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# If you want to use on your own indices, you will need to change this.
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INCLUDE_INDICES = ["customers"]
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# With the Elasticsearch connection created, we can now move on to the chain
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_model = ChatOpenAI(temperature=0, model="gpt-4")
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chain = {
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"input": lambda x: x["input"],
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"indices_info": lambda _: get_indices_infos(db),
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# This line only get index info for "customers" index.
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# If you are running this on your own data, you will want to change.
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"indices_info": lambda _: get_indices_infos(db, include_indices=INCLUDE_INDICES),
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"top_k": lambda x: x.get("top_k", 5),
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} | DSL_PROMPT | _model | SimpleJsonOutputParser()
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# Nicely typed inputs for playground
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class ChainInputs(BaseModel):
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input: str
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top_k: int = 5
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chain = chain.with_types(input_type=ChainInputs)
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@@ -13,8 +13,18 @@ def _list_indices(database, include_indices=None, ignore_indices=None) -> List[s
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return all_indices
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def get_indices_infos(database, sample_documents_in_index_info=5) -> str:
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indices = _list_indices(database)
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def get_indices_infos(
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database,
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sample_documents_in_index_info=5,
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include_indices=None,
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ignore_indices=None
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) -> str:
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indices = _list_indices(
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database,
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include_indices=include_indices,
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ignore_indices=ignore_indices
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)
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mappings = database.indices.get_mapping(index=",".join(indices))
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if sample_documents_in_index_info > 0:
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for k, v in mappings.items():
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@@ -1,14 +1,18 @@
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import os
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from elasticsearch import Elasticsearch
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es_host = os.environ["ELASTIC_SEARCH_SERVER"]
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es_password = os.environ["ELASTIC_PASSWORD"]
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# Setup Elasticsearch
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# This shows how to set it up for a cloud hosted version
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# Password for the 'elastic' user generated by Elasticsearch
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ELASTIC_PASSWORD = "..."
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# Found in the 'Manage Deployment' page
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CLOUD_ID = "..."
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# Create the client instance
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db = Elasticsearch(
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es_host,
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http_auth=('elastic', es_password),
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ca_certs='http_ca.crt' # Replace with your actual path
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cloud_id=CLOUD_ID,
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basic_auth=("elastic", ELASTIC_PASSWORD)
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)
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customers = [
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@@ -1,5 +1,5 @@
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[tool.poetry]
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name = "elastic_query_generator"
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name = "elastic-query-generator"
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version = "0.0.1"
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description = ""
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authors = []
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@@ -9,6 +9,7 @@ readme = "README.md"
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python = ">=3.8.1,<4.0"
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langchain = ">=0.0.313"
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elasticsearch = "^8.10.1"
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openai = ">=0.27.9"
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[tool.langserve]
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export_module = "elastic_query_generator.chain"
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