From a901f89cd5d8494551e0f8947f1e80e491d23742 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 22:28:07 -0300 Subject: [PATCH 01/12] Refactor ChatService process_message method --- src/backend/langflow/services/chat/service.py | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/src/backend/langflow/services/chat/service.py b/src/backend/langflow/services/chat/service.py index 825279ac3..91fe98845 100644 --- a/src/backend/langflow/services/chat/service.py +++ b/src/backend/langflow/services/chat/service.py @@ -5,14 +5,15 @@ from typing import Any, Dict, List import orjson from fastapi import WebSocket, status +from loguru import logger +from starlette.websockets import WebSocketState + from langflow.api.v1.schemas import ChatMessage, ChatResponse, FileResponse from langflow.interface.utils import pil_to_base64 from langflow.services import ServiceType, service_manager from langflow.services.base import Service from langflow.services.chat.cache import Subject from langflow.services.chat.utils import process_graph -from loguru import logger -from starlette.websockets import WebSocketState from .cache import cache_service @@ -117,7 +118,7 @@ class ChatService(Service): if "after sending" in str(exc): logger.error(f"Error closing connection: {exc}") - async def process_message(self, client_id: str, payload: Dict, langchain_object: Any): + async def process_message(self, client_id: str, payload: Dict, build_result: Any): # Process the graph data and chat message chat_inputs = payload.pop("inputs", {}) chatkey = payload.pop("chatKey", None) @@ -134,12 +135,12 @@ class ChatService(Service): logger.debug("Generating result and thought") result, intermediate_steps, raw_output = await process_graph( - langchain_object=langchain_object, + build_result=build_result, chat_inputs=chat_inputs, client_id=client_id, session_id=self.connection_ids[client_id], ) - self.set_cache(client_id, langchain_object) + self.set_cache(client_id, build_result) except Exception as e: # Log stack trace logger.exception(e) @@ -205,8 +206,8 @@ class ChatService(Service): continue with self.chat_cache.set_client_id(client_id): - if langchain_object := self.cache_service.get(client_id).get("result"): - await self.process_message(client_id, payload, langchain_object) + if build_result := self.cache_service.get(client_id).get("result"): + await self.process_message(client_id, payload, build_result) else: raise RuntimeError(f"Could not find a build result for client_id {client_id}") From 5a79a343f85aa7ca0628654782a170fb8724deda Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 22:36:08 -0300 Subject: [PATCH 02/12] Add llama-index package version 0.9.24 --- poetry.lock | 41 +++++++++++++++++++++++++++++++++++++++-- pyproject.toml | 1 + 2 files changed, 40 insertions(+), 2 deletions(-) diff --git a/poetry.lock b/poetry.lock index 89d0920de..59b4f03e8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3728,6 +3728,43 @@ dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-mater server = ["fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"] test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"] +[[package]] +name = "llama-index" +version = "0.9.24" +description = "Interface between LLMs and your data" +optional = false +python-versions = ">=3.8.1,<4.0" +files = [ + {file = "llama_index-0.9.24-py3-none-any.whl", hash = "sha256:aeef8a4fb478d45474261289046f37c2805e3bf3453c156c84088c0414465e5e"}, + {file = "llama_index-0.9.24.tar.gz", hash = "sha256:48175a35c30427f361068693d6f384baf76865831569ca4e04a1a8b6f10ba269"}, +] + +[package.dependencies] +aiohttp = ">=3.8.6,<4.0.0" +beautifulsoup4 = ">=4.12.2,<5.0.0" +dataclasses-json = "*" +deprecated = ">=1.2.9.3" +fsspec = ">=2023.5.0" +httpx = "*" +nest-asyncio = ">=1.5.8,<2.0.0" +nltk = ">=3.8.1,<4.0.0" +numpy = "*" +openai = ">=1.1.0" +pandas = "*" +requests = ">=2.31.0" +SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]} +tenacity = ">=8.2.0,<9.0.0" +tiktoken = ">=0.3.3" +typing-extensions = ">=4.5.0" +typing-inspect = ">=0.8.0" + +[package.extras] +gradientai = ["gradientai (>=1.4.0)"] +langchain = ["langchain (>=0.0.303)"] +local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.34.0,<5.0.0)"] +postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg-binary (>=3.1.12,<4.0.0)"] +query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"] + [[package]] name = "locust" version = "2.20.0" @@ -7542,7 +7579,7 @@ files = [ ] [package.dependencies] -greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""} +greenlet = {version = "!=0.4.17", optional = true, markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or extra == \"asyncio\""} typing-extensions = ">=4.2.0" [package.extras] @@ -9184,4 +9221,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.11" -content-hash = "298c4c74d1e9ed37405bfbeaefb8ecd5d766d970a4e16fb37cbbccbab79573ce" +content-hash = "80378e2f6511caf4f46ad7ff47a5e0823aca87e92e6b0f3ced80040bbb891ffb" diff --git a/pyproject.toml b/pyproject.toml index 0d068173a..b4896ea9c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -105,6 +105,7 @@ pgvector = "^0.2.3" pyautogen = "^0.2.0" langchain-google-genai = "^0.0.2" pytube = "^15.0.0" +llama-index = "^0.9.24" [tool.poetry.group.dev.dependencies] pytest-asyncio = "^0.23.1" From e69f3cfdef1824d6820de441281cb77631746ce8 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 22:36:17 -0300 Subject: [PATCH 03/12] Add support for different types of build_result in process_graph function --- src/backend/langflow/services/chat/utils.py | 42 ++++++++++++++++----- 1 file changed, 33 insertions(+), 9 deletions(-) diff --git a/src/backend/langflow/services/chat/utils.py b/src/backend/langflow/services/chat/utils.py index 7970e5d89..2718659a2 100644 --- a/src/backend/langflow/services/chat/utils.py +++ b/src/backend/langflow/services/chat/utils.py @@ -1,20 +1,28 @@ +from typing import Any + +from langchain.agents import AgentExecutor +from langchain.chains.base import Chain +from langchain_core.runnables import Runnable from loguru import logger from langflow.api.v1.schemas import ChatMessage from langflow.interface.utils import try_setting_streaming_options from langflow.processing.base import get_result_and_steps +from langflow.utils.chat import ChatAdapter + +LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor) async def process_graph( - langchain_object, + build_result, chat_inputs: ChatMessage, client_id: str, session_id: str, ): - langchain_object = try_setting_streaming_options(langchain_object) + build_result = try_setting_streaming_options(build_result) logger.debug("Loaded langchain object") - if langchain_object is None: + if build_result is None: # Raise user facing error raise ValueError("There was an error loading the langchain_object. Please, check all the nodes and try again.") @@ -25,15 +33,31 @@ async def process_graph( chat_inputs.message = {} logger.debug("Generating result and thought") - result, intermediate_steps, raw_output = await get_result_and_steps( - langchain_object, - chat_inputs.message, - client_id=client_id, - session_id=session_id, - ) + if isinstance(build_result, LANGCHAIN_RUNNABLES): + result, intermediate_steps, raw_output = await get_result_and_steps( + build_result, + chat_inputs.message, + client_id=client_id, + session_id=session_id, + ) + elif isinstance(build_result, ChatAdapter): + result = await run_build_result( + build_result, + chat_inputs, + client_id=client_id, + session_id=session_id, + ) + intermediate_steps = [] + raw_output = result + else: + raise TypeError(f"Unknown type {type(build_result)}") logger.debug("Generated result and intermediate_steps") return result, intermediate_steps, raw_output except Exception as e: # Log stack trace logger.exception(e) raise e + + +async def run_build_result(build_result: Any, chat_inputs: ChatMessage, client_id: str, session_id: str): + return build_result(**chat_inputs.message) From 23122277666d4de13c32787f747e6aaa79cc7e41 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 22:36:26 -0300 Subject: [PATCH 04/12] Add ChatAdapter class to utils/chat.py --- src/backend/langflow/utils/chat.py | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 src/backend/langflow/utils/chat.py diff --git a/src/backend/langflow/utils/chat.py b/src/backend/langflow/utils/chat.py new file mode 100644 index 000000000..84405e38e --- /dev/null +++ b/src/backend/langflow/utils/chat.py @@ -0,0 +1,23 @@ +from typing import Any, Callable, Optional, Union + +from langchain_core.prompts import PromptTemplate as LCPromptTemplate +from langflow.utils.prompt import GenericPromptTemplate +from llama_index.prompts import PromptTemplate as LIPromptTemplate + +PromptTemplate = Union[LCPromptTemplate, LIPromptTemplate] + + +class ChatAdapter: + def __init__(self, func: Callable, inputs: list[str], output_key: str, prompt: Optional[PromptTemplate] = None): + self.func = func + self.input_keys = inputs + self.output_keys = output_key + self.prompt = prompt + + @classmethod + def from_prompt_template(cls, prompt_template: PromptTemplate, func: Callable): + prompt = GenericPromptTemplate(prompt_template) + return cls(func, prompt.input_keys, prompt_template) + + def __call__(self, inputs: dict, callbacks: Optional[Any] = None) -> dict: + return self.func(inputs, callbacks) From 51fa0f22e0f709454067133853a66d258a856302 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 22:36:32 -0300 Subject: [PATCH 05/12] Add GenericPromptTemplate class to handle different prompt template types --- src/backend/langflow/utils/prompt.py | 58 ++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) create mode 100644 src/backend/langflow/utils/prompt.py diff --git a/src/backend/langflow/utils/prompt.py b/src/backend/langflow/utils/prompt.py new file mode 100644 index 000000000..871193f45 --- /dev/null +++ b/src/backend/langflow/utils/prompt.py @@ -0,0 +1,58 @@ +from typing import Any, Union + +from langchain_core.prompts import PromptTemplate as LCPromptTemplate +from llama_index.prompts import PromptTemplate as LIPromptTemplate + +PromptTemplateTypes = Union[LCPromptTemplate, LIPromptTemplate] + + +class GenericPromptTemplate: + def __init__(self, prompt_template: PromptTemplateTypes): + object.__setattr__(self, "prompt_template", prompt_template) + + @property + def input_keys(self): + prompt_template = object.__getattribute__(self, "prompt_template") + if isinstance(prompt_template, LCPromptTemplate): + return prompt_template.input_variables + elif isinstance(prompt_template, LIPromptTemplate): + return prompt_template.template_vars + else: + raise TypeError(f"Unknown prompt template type {type(prompt_template)}") + + def to_lc_prompt(self): + prompt_template = object.__getattribute__(self, "prompt_template") + if isinstance(prompt_template, LCPromptTemplate): + return prompt_template + elif isinstance(prompt_template, LIPromptTemplate): + return LCPromptTemplate.from_template(prompt_template.get_template()) + else: + raise TypeError(f"Unknown prompt template type {type(prompt_template)}") + + def to_li_prompt(self): + prompt_template = object.__getattribute__(self, "prompt_template") + if isinstance(prompt_template, LIPromptTemplate): + return prompt_template + elif isinstance(prompt_template, LCPromptTemplate): + return LIPromptTemplate(template=prompt_template.template) + else: + raise TypeError(f"Unknown prompt template type {type(prompt_template)}") + + def __or__(self, other): + prompt_template = object.__getattribute__(self, "prompt_template") + if isinstance(prompt_template, LIPromptTemplate): + return self.to_lc_prompt() | other + else: + raise TypeError(f"Unknown prompt template type {type(other)}") + + def __getattribute__(self, name: str) -> Any: + if name in { + "input_keys", + "to_lc_prompt", + "to_li_prompt", + "__or__", + "prompt_template", + }: + return object.__getattribute__(self, name) + prompt_template = object.__getattribute__(self, "prompt_template") + return getattr(prompt_template, name) From 8421e60f106eb9ba340e9b9e8d52033d211db71d Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 23:15:27 -0300 Subject: [PATCH 06/12] Refactor chat utils module --- src/backend/langflow/services/chat/utils.py | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/src/backend/langflow/services/chat/utils.py b/src/backend/langflow/services/chat/utils.py index 2718659a2..2427e9e4e 100644 --- a/src/backend/langflow/services/chat/utils.py +++ b/src/backend/langflow/services/chat/utils.py @@ -3,12 +3,11 @@ from typing import Any from langchain.agents import AgentExecutor from langchain.chains.base import Chain from langchain_core.runnables import Runnable -from loguru import logger - from langflow.api.v1.schemas import ChatMessage from langflow.interface.utils import try_setting_streaming_options from langflow.processing.base import get_result_and_steps -from langflow.utils.chat import ChatAdapter +from langflow.utils.chat import ChatDefinition +from loguru import logger LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor) @@ -40,13 +39,17 @@ async def process_graph( client_id=client_id, session_id=session_id, ) - elif isinstance(build_result, ChatAdapter): + elif isinstance(build_result, ChatDefinition): result = await run_build_result( build_result, chat_inputs, client_id=client_id, session_id=session_id, ) + if isinstance(result, dict): + if not build_result.output_key: + raise ValueError("No output key provided to select the output from the result") + result = result[build_result.output_key] intermediate_steps = [] raw_output = result else: From c2da021cac784f3c68fd46d03fdca0f4b2886abb Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 23:15:33 -0300 Subject: [PATCH 07/12] Refactor ChatAdapter to ChatDefinition --- src/backend/langflow/utils/chat.py | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/src/backend/langflow/utils/chat.py b/src/backend/langflow/utils/chat.py index 84405e38e..35b4f22a6 100644 --- a/src/backend/langflow/utils/chat.py +++ b/src/backend/langflow/utils/chat.py @@ -1,17 +1,24 @@ from typing import Any, Callable, Optional, Union from langchain_core.prompts import PromptTemplate as LCPromptTemplate -from langflow.utils.prompt import GenericPromptTemplate from llama_index.prompts import PromptTemplate as LIPromptTemplate +from langflow.utils.prompt import GenericPromptTemplate + PromptTemplate = Union[LCPromptTemplate, LIPromptTemplate] -class ChatAdapter: - def __init__(self, func: Callable, inputs: list[str], output_key: str, prompt: Optional[PromptTemplate] = None): +class ChatDefinition: + def __init__( + self, + func: Callable, + inputs: list[str], + output_key: Optional[str] = None, + prompt: Optional[PromptTemplate] = None, + ): self.func = func self.input_keys = inputs - self.output_keys = output_key + self.output_key = output_key self.prompt = prompt @classmethod From 99ef88280133f81981b51ee67e1f25c104b36b59 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 23:19:55 -0300 Subject: [PATCH 08/12] Refactor process_graph function to handle ChatDefinition with dict output key --- src/backend/langflow/services/chat/utils.py | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/src/backend/langflow/services/chat/utils.py b/src/backend/langflow/services/chat/utils.py index 2427e9e4e..85e6cdcd5 100644 --- a/src/backend/langflow/services/chat/utils.py +++ b/src/backend/langflow/services/chat/utils.py @@ -3,11 +3,12 @@ from typing import Any from langchain.agents import AgentExecutor from langchain.chains.base import Chain from langchain_core.runnables import Runnable +from loguru import logger + from langflow.api.v1.schemas import ChatMessage from langflow.interface.utils import try_setting_streaming_options from langflow.processing.base import get_result_and_steps from langflow.utils.chat import ChatDefinition -from loguru import logger LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor) @@ -40,18 +41,19 @@ async def process_graph( session_id=session_id, ) elif isinstance(build_result, ChatDefinition): - result = await run_build_result( + raw_output = await run_build_result( build_result, chat_inputs, client_id=client_id, session_id=session_id, ) - if isinstance(result, dict): + if isinstance(raw_output, dict): if not build_result.output_key: - raise ValueError("No output key provided to select the output from the result") - result = result[build_result.output_key] + raise ValueError("No output key provided to ChatDefinition when returning a dict.") + result = raw_output[build_result.output_key] + else: + result = raw_output intermediate_steps = [] - raw_output = result else: raise TypeError(f"Unknown type {type(build_result)}") logger.debug("Generated result and intermediate_steps") @@ -63,4 +65,4 @@ async def process_graph( async def run_build_result(build_result: Any, chat_inputs: ChatMessage, client_id: str, session_id: str): - return build_result(**chat_inputs.message) + return build_result(inputs=chat_inputs.message) From 7f37dcf7bc9092875c8ba699432e13fd95d18d62 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Tue, 2 Jan 2024 23:30:57 -0300 Subject: [PATCH 09/12] Refactor ChatDefinition class to use prompt_template instead of prompt --- src/backend/langflow/utils/chat.py | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) diff --git a/src/backend/langflow/utils/chat.py b/src/backend/langflow/utils/chat.py index 35b4f22a6..e1621bdab 100644 --- a/src/backend/langflow/utils/chat.py +++ b/src/backend/langflow/utils/chat.py @@ -1,9 +1,8 @@ from typing import Any, Callable, Optional, Union from langchain_core.prompts import PromptTemplate as LCPromptTemplate -from llama_index.prompts import PromptTemplate as LIPromptTemplate - from langflow.utils.prompt import GenericPromptTemplate +from llama_index.prompts import PromptTemplate as LIPromptTemplate PromptTemplate = Union[LCPromptTemplate, LIPromptTemplate] @@ -14,17 +13,22 @@ class ChatDefinition: func: Callable, inputs: list[str], output_key: Optional[str] = None, - prompt: Optional[PromptTemplate] = None, + prompt_template: Optional[PromptTemplate] = None, ): self.func = func self.input_keys = inputs self.output_key = output_key - self.prompt = prompt + self.prompt_template = prompt_template @classmethod - def from_prompt_template(cls, prompt_template: PromptTemplate, func: Callable): + def from_prompt_template(cls, prompt_template: PromptTemplate, func: Callable, output_key: Optional[str] = None): prompt = GenericPromptTemplate(prompt_template) - return cls(func, prompt.input_keys, prompt_template) + return cls( + func=func, + inputs=prompt.input_keys, + output_key=output_key, + prompt_template=prompt_template, + ) def __call__(self, inputs: dict, callbacks: Optional[Any] = None) -> dict: return self.func(inputs, callbacks) From 7c6ee78c4af8413597f67960a1d48eeacc227d56 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Wed, 3 Jan 2024 11:20:15 -0300 Subject: [PATCH 10/12] Refactor AmazonBedrockComponent cache parameter --- src/backend/langflow/components/llms/AmazonBedrock.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/backend/langflow/components/llms/AmazonBedrock.py b/src/backend/langflow/components/llms/AmazonBedrock.py index 306f84e30..5b931bb94 100644 --- a/src/backend/langflow/components/llms/AmazonBedrock.py +++ b/src/backend/langflow/components/llms/AmazonBedrock.py @@ -2,7 +2,6 @@ from typing import Optional from langchain.llms.base import BaseLLM from langchain.llms.bedrock import Bedrock - from langflow import CustomComponent @@ -44,7 +43,7 @@ class AmazonBedrockComponent(CustomComponent): model_kwargs: Optional[dict] = None, endpoint_url: Optional[str] = None, streaming: bool = False, - cache: bool | None = None, + cache: Optional[bool] = None, ) -> BaseLLM: try: output = Bedrock( From 5ad13e0475b8e6b27e812d304673bce3d5eced5d Mon Sep 17 00:00:00 2001 From: abhatt Date: Wed, 3 Jan 2024 12:39:17 -0800 Subject: [PATCH 11/12] Added Elasticsearch Vector Store --- poetry.lock | 68 ++++++++++++++++++- pyproject.toml | 1 + src/backend/langflow/config.yaml | 2 + .../interface/initialize/vector_store.py | 24 +++++++ .../template/frontend_node/vectorstores.py | 28 ++++++++ .../ElasticsearchStore/ElasticsearchLogo.jsx | 19 ++++++ .../ElasticsearchStore/ElasticsearchLogo.svg | 9 +++ .../src/icons/ElasticsearchStore/index.tsx | 9 +++ src/frontend/src/utils/styleUtils.ts | 2 + tests/test_endpoints.py | 2 +- 10 files changed, 160 insertions(+), 4 deletions(-) create mode 100644 src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx create mode 100644 src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg create mode 100644 src/frontend/src/icons/ElasticsearchStore/index.tsx diff --git a/poetry.lock b/poetry.lock index 8d2b12d2e..81b51ae64 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index a30637e0d..816f4738c 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -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: diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py index 0b5ade7c8..a0adf85e3 100644 --- a/src/backend/langflow/interface/initialize/vector_store.py +++ b/src/backend/langflow/interface/initialize/vector_store.py @@ -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, diff --git a/src/backend/langflow/template/frontend_node/vectorstores.py b/src/backend/langflow/template/frontend_node/vectorstores.py index 170c3c766..1f49f76a9 100644 --- a/src/backend/langflow/template/frontend_node/vectorstores.py +++ b/src/backend/langflow/template/frontend_node/vectorstores.py @@ -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", diff --git a/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx new file mode 100644 index 000000000..bbf7c040a --- /dev/null +++ b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.jsx @@ -0,0 +1,19 @@ +const SvgElasticsearchLogo = (props) => ( + + + + + +); +export default SvgElasticsearchLogo; diff --git a/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg new file mode 100644 index 000000000..39b7bf5fd --- /dev/null +++ b/src/frontend/src/icons/ElasticsearchStore/ElasticsearchLogo.svg @@ -0,0 +1,9 @@ + + + + + + + + + \ No newline at end of file diff --git a/src/frontend/src/icons/ElasticsearchStore/index.tsx b/src/frontend/src/icons/ElasticsearchStore/index.tsx new file mode 100644 index 000000000..12f2b95d7 --- /dev/null +++ b/src/frontend/src/icons/ElasticsearchStore/index.tsx @@ -0,0 +1,9 @@ +import React, { forwardRef } from "react"; +import SvgElasticsearchLogo from "./ElasticsearchLogo"; + +export const ElasticsearchIcon = forwardRef< + SVGSVGElement, + React.PropsWithChildren<{}> +>((props, ref) => { + return ; +}); diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts index de71f11f3..82ff5fbf3 100644 --- a/src/frontend/src/utils/styleUtils.ts +++ b/src/frontend/src/utils/styleUtils.ts @@ -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, diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index 2e2a65b64..338224004 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -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"] \ No newline at end of file + assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"] From 357cad48b942c14ff846dc66843c5b8c8fdda504 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Sat, 6 Jan 2024 16:27:39 -0300 Subject: [PATCH 12/12] Update lock --- poetry.lock | 699 ++++++++++++++++++++++++++-------------------------- 1 file changed, 347 insertions(+), 352 deletions(-) diff --git a/poetry.lock b/poetry.lock index 3c4eaa6ab..1b4c5d334 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. [[package]] name = "aiofiles" @@ -277,21 +277,22 @@ files = [ [[package]] name = "attrs" -version = "23.1.0" +version = "23.2.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.7" files = [ - {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"}, - {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"}, + {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"}, + {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"}, ] [package.extras] cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] -dev = ["attrs[docs,tests]", "pre-commit"] +dev = ["attrs[tests]", "pre-commit"] docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] tests = 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