Added Elasticsearch Vector Store
This commit is contained in:
abhatt
parent
a27c7221bb
commit
5ad13e0475
10 changed files with 160 additions and 4 deletions
68
poetry.lock
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68
poetry.lock
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@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
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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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[[package]]
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name = "aiofiles"
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@ -1398,6 +1398,42 @@ six = ">=1.9.0"
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gmpy = ["gmpy"]
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gmpy2 = ["gmpy2"]
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[[package]]
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name = "elastic-transport"
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version = "8.11.0"
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description = "Transport classes and utilities shared among Python Elastic client libraries"
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optional = false
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[package.dependencies]
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certifi = "*"
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urllib3 = ">=1.26.2,<3"
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[package.extras]
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develop = ["aiohttp", "furo", "mock", "pytest", "pytest-asyncio", "pytest-cov", "pytest-httpserver", "pytest-mock", "requests", "sphinx (>2)", "sphinx-autodoc-typehints", "trustme"]
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[[package]]
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name = "elasticsearch"
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version = "8.11.1"
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description = "Python client for Elasticsearch"
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[package.dependencies]
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elastic-transport = ">=8,<9"
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[package.extras]
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async = ["aiohttp (>=3,<4)"]
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requests = ["requests (>=2.4.0,<3.0.0)"]
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python-versions = ">=3.7"
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|
||||
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
|
||||
|
|
@ -6604,6 +6664,7 @@ files = [
|
|||
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
|
||||
|
|
@ -6611,6 +6672,7 @@ files = [
|
|||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
|
||||
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
|
||||
|
|
@ -9341,4 +9403,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<3.11"
|
||||
content-hash = "2309dbc81b811f81dadcd68200b7266265ddc7e60429ed2e5f1612ebd2dad9d9"
|
||||
content-hash = "4d113c63d1947ef150f76c977e3556939ad76e488fae7386733225d3ae77de99"
|
||||
|
|
|
|||
|
|
@ -104,6 +104,7 @@ qianfan = "0.0.5"
|
|||
pgvector = "^0.2.3"
|
||||
pyautogen = "^0.2.0"
|
||||
langchain-google-genai = "^0.0.2"
|
||||
elasticsearch = "^8.11.1"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest-asyncio = "^0.23.1"
|
||||
|
|
|
|||
|
|
@ -274,6 +274,8 @@ vectorstores:
|
|||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
|
||||
Pinecone:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone"
|
||||
ElasticsearchStore:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/elasticsearch"
|
||||
SupabaseVectorStore:
|
||||
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
|
||||
MongoDBAtlasVectorSearch:
|
||||
|
|
|
|||
|
|
@ -1,6 +1,7 @@
|
|||
from typing import Any, Callable, Dict, Type
|
||||
from langchain.vectorstores import (
|
||||
Pinecone,
|
||||
ElasticsearchStore,
|
||||
Qdrant,
|
||||
Chroma,
|
||||
FAISS,
|
||||
|
|
@ -226,11 +227,34 @@ def initialize_qdrant(class_object: Type[Qdrant], params: dict):
|
|||
return class_object.from_documents(**params)
|
||||
|
||||
|
||||
def initialize_elasticsearch(class_object: Type[ElasticsearchStore], params: dict):
|
||||
"""Initialize elastic and return the class object"""
|
||||
if "index_name" not in params:
|
||||
raise ValueError("Elasticsearch Index must be provided in the params")
|
||||
if "es_url" not in params:
|
||||
raise ValueError("Elasticsearch URL must be provided in the params")
|
||||
if not docs_in_params(params):
|
||||
existing_index_params = {
|
||||
"embedding": params.pop("embedding"),
|
||||
}
|
||||
if "index_name" in params:
|
||||
existing_index_params["index_name"] = params.pop("index_name")
|
||||
if "es_url" in params:
|
||||
existing_index_params["es_url"] = params.pop("es_url")
|
||||
|
||||
return class_object.from_existing_index(**existing_index_params)
|
||||
# If there are docs in the params, create a new index
|
||||
if "texts" in params:
|
||||
params["documents"] = params.pop("texts")
|
||||
return class_object.from_documents(**params)
|
||||
|
||||
|
||||
vecstore_initializer: Dict[str, Callable[[Type[Any], dict], Any]] = {
|
||||
"Pinecone": initialize_pinecone,
|
||||
"Chroma": initialize_chroma,
|
||||
"Qdrant": initialize_qdrant,
|
||||
"Weaviate": initialize_weaviate,
|
||||
"ElasticsearchStore": initialize_elasticsearch,
|
||||
"FAISS": initialize_faiss,
|
||||
"SupabaseVectorStore": initialize_supabase,
|
||||
"MongoDBAtlasVectorSearch": initialize_mongodb,
|
||||
|
|
|
|||
|
|
@ -11,6 +11,7 @@ BASIC_FIELDS = [
|
|||
"persist_directory",
|
||||
"persist",
|
||||
"weaviate_url",
|
||||
"es_url",
|
||||
"index_name",
|
||||
"namespace",
|
||||
"folder_path",
|
||||
|
|
@ -170,6 +171,33 @@ class VectorStoreFrontendNode(FrontendNode):
|
|||
value="",
|
||||
)
|
||||
extra_fields.extend((extra_field, extra_field2))
|
||||
|
||||
elif self.template.type_name == "ElasticsearchStore":
|
||||
# add elastic and elastic credentials
|
||||
extra_field = TemplateField(
|
||||
name="es_url",
|
||||
field_type="str",
|
||||
required=True,
|
||||
placeholder="http://localhost:9200",
|
||||
show=True,
|
||||
advanced=False,
|
||||
multiline=False,
|
||||
value="http://localhost:9200",
|
||||
display_name="Elasticsearch URL",
|
||||
)
|
||||
extra_field2 = TemplateField(
|
||||
name="index_name",
|
||||
field_type="str",
|
||||
required=True,
|
||||
placeholder="test-index",
|
||||
show=True,
|
||||
advanced=False,
|
||||
multiline=False,
|
||||
value="test-index",
|
||||
display_name="Index Name",
|
||||
)
|
||||
extra_fields.extend((extra_field, extra_field2))
|
||||
|
||||
elif self.template.type_name == "FAISS":
|
||||
extra_field = TemplateField(
|
||||
name="folder_path",
|
||||
|
|
|
|||
|
|
@ -0,0 +1,19 @@
|
|||
const SvgElasticsearchLogo = (props) => (
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
width="24"
|
||||
height="24"
|
||||
fill="none"
|
||||
stroke="currentColor"
|
||||
strokeLinecap="round"
|
||||
strokeLinejoin="round"
|
||||
strokeWidth="2"
|
||||
className="icon icon-tabler icon-tabler-brand-elastic"
|
||||
viewBox="0 0 24 24"
|
||||
>
|
||||
<path stroke="none" d="M0 0h24v24H0z"></path>
|
||||
<path d="M14 2a5 5 0 015 5c0 .712-.232 1.387-.5 2 1.894.042 3.5 1.595 3.5 3.5 0 1.869-1.656 3.4-3.5 3.5.333.625.5 1.125.5 1.5a2.5 2.5 0 01-2.5 2.5c-.787 0-1.542-.432-2-1-.786 1.73-2.476 3-4.5 3a5 5 0 01-4.583-7 3.5 3.5 0 01-.11-6.992h.195a2.5 2.5 0 012-4c.787 0 1.542.432 2 1 .786-1.73 2.476-3 4.5-3zM8.5 9l-3-1"></path>
|
||||
<path d="M9.5 5l-1 4 1 2 5 2 4-4M18.499 16l-3-.5-1-2.5M14.5 19l1-3.5M5.417 15L9.5 11"></path>
|
||||
</svg>
|
||||
);
|
||||
export default SvgElasticsearchLogo;
|
||||
|
|
@ -0,0 +1,9 @@
|
|||
<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-elastic" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path stroke="none" d="M0 0h24v24H0z" fill="none" />
|
||||
<path d="M14 2a5 5 0 0 1 5 5c0 .712 -.232 1.387 -.5 2c1.894 .042 3.5 1.595 3.5 3.5c0 1.869 -1.656 3.4 -3.5 3.5c.333 .625 .5 1.125 .5 1.5a2.5 2.5 0 0 1 -2.5 2.5c-.787 0 -1.542 -.432 -2 -1c-.786 1.73 -2.476 3 -4.5 3a5 5 0 0 1 -4.583 -7a3.5 3.5 0 0 1 -.11 -6.992l.195 0a2.5 2.5 0 0 1 2 -4c.787 0 1.542 .432 2 1c.786 -1.73 2.476 -3 4.5 -3z" />
|
||||
<path d="M8.5 9l-3 -1" />
|
||||
<path d="M9.5 5l-1 4l1 2l5 2l4 -4" />
|
||||
<path d="M18.499 16l-3 -.5l-1 -2.5" />
|
||||
<path d="M14.5 19l1 -3.5" />
|
||||
<path d="M5.417 15l4.083 -4" />
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 810 B |
9
src/frontend/src/icons/ElasticsearchStore/index.tsx
Normal file
9
src/frontend/src/icons/ElasticsearchStore/index.tsx
Normal file
|
|
@ -0,0 +1,9 @@
|
|||
import React, { forwardRef } from "react";
|
||||
import SvgElasticsearchLogo from "./ElasticsearchLogo";
|
||||
|
||||
export const ElasticsearchIcon = forwardRef<
|
||||
SVGSVGElement,
|
||||
React.PropsWithChildren<{}>
|
||||
>((props, ref) => {
|
||||
return <SvgElasticsearchLogo ref={ref} {...props} />;
|
||||
});
|
||||
|
|
@ -111,6 +111,7 @@ import { AnthropicIcon } from "../icons/Anthropic";
|
|||
import { BingIcon } from "../icons/Bing";
|
||||
import { ChromaIcon } from "../icons/ChromaIcon";
|
||||
import { CohereIcon } from "../icons/Cohere";
|
||||
import { ElasticsearchIcon } from "../icons/ElasticsearchStore";
|
||||
import { EvernoteIcon } from "../icons/Evernote";
|
||||
import { FBIcon } from "../icons/FacebookMessenger";
|
||||
import { GitBookIcon } from "../icons/GitBook";
|
||||
|
|
@ -256,6 +257,7 @@ export const nodeIconsLucide: iconsType = {
|
|||
OpenAIEmbeddings: OpenAiIcon,
|
||||
Pinecone: PineconeIcon,
|
||||
Qdrant: QDrantIcon,
|
||||
ElasticsearchStore: ElasticsearchIcon,
|
||||
Weaviate: WeaviateIcon,
|
||||
Searx: SearxIcon,
|
||||
SlackDirectoryLoader: SvgSlackIcon,
|
||||
|
|
|
|||
|
|
@ -578,4 +578,4 @@ def test_async_task_processing_vector_store(client, added_vector_store, created_
|
|||
# Validate that the task completed successfully and the result is as expected
|
||||
assert "result" in task_status_json, task_status_json
|
||||
assert "output" in task_status_json["result"], task_status_json["result"]
|
||||
assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"]
|
||||
assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"]
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue