Load qa chain langchain github. Note: Here we focus on Q&A for unstructured data.
Jan 2, 2023 · Then wrap the language model in a Question-Answering chain as follows: chain = load_qa_with_sources_chain(llm) For the question answering example we will use data from Wikipedia to build a toy corpus. 21 langchain-community 0. docstore. Nov 21, 2023 · In this code, load_qa_chain function will use the ConversationChain instance chain which has BufferedWindowMemory as its memory. Oct 9, 2023 · The chain_type_kwargs parameter in the RetrievalQA. memory import GenerativeAgentMemory class BaseRetrievalQA ( Chain ): """Base class for question-answering chains. embeddings import OpenAIEmbeddings from langchain. """ destination_chains: Mapping[str, Chain] """Map of name to candidate chains that inputs can be routed to. load_qa_chain`. While in the party, Elizabeth collapsed and was rushed to the hospital. Here is an example of how you can modify the from_chain_type method: @classmethod def from_chain_type (. Contribute to mdwoicke/langchain_examples_pdf development by creating an account on GitHub. Set up your LangSmith account 4 days ago · langchain. From what I understand, the issue you reported is related to the RetrievalQAWithSourcesChain not consistently populating the sources under the sources key when running the chain. 29 Jun 26, 2023 · This will split the long document into smaller chunks and then pass them to the load_qa_chain function, allowing it to process the document without exceeding the token limit (docs/snippets/modules/chains/popular/vector_db_qa. Jul 19, 2023 · I'm Dosu, and I'm here to help the LangChain team manage their backlog. The load_qa_with_sources_chain function uses the ChatOpenAI class, which in turn uses the _call method of the MosaicML class to make the API Oct 31, 2023 · LangChain provides text splitters that can split the text into chunks that fit within the token limit of the language model. I built a RAG chain with chat-history. Jun 16, 2023 · class MultitypeDestRouteChain(MultiRouteChain) : """A multi-route chain that uses an LLM router chain to choose amongst prompts. output_…. vectorstores import FAISS from langchain. Additionally, one user shared a link to check for potential limitations with large documents or multiple documents. Finally, the chain is correctly called with the input documents and the question, and asks for only the outputs to be returned. """. some text sources: source 1, source 2, while the source variable within the The classic example uses `langchain. If you are interested for RAG over Apr 23, 2023 · langchain qa with sources and retrievers. Aug 31, 2023 · In order to attach a memory to load_qa_chain, you can set your prefered memory to memory parameter like below: load_qa_chain(llm="your llm", chain_type= "your prefered one", memory = "your prefered memory" etc. The chain_type parameter is used to load a specific type of chain for question-answering. some text 2. question_answering import load_qa_chain from langchain. Here is the method in the code: @classmethod def from_chain_type (. Please help me to understand which method should be used in which case? what is preferred way to achieve QA from given documents? System Info. I'm helping the LangChain team manage their backlog and am marking this issue as stale. path. 25 langchain-core 0. If the "prompt" parameter is not provided, the method Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Apr 22, 2023 · It seems that the output is incomplete, and there is a suspicion that it may be caused by exceeding the maximum token size. Dec 1, 2023 · The chain_type in RetrievalQA. Apr 29, 2024 · What is load_qa_chain? load_qa_chain is a function in LangChain designed for question-answering tasks over a list of documents. How do I set it up? You signed in with another tab or window. return load_qa_chain(llm, chain_type="stuff", prompt=PROMPT) # This function uses a similarity search to find the most relevant documents to the question, replaces the variables {context} and {question} in the prompt with the context and question respectively, and generates an answer using the chain. May 10, 2023 · from langchain. import locale from git import Repo import os from langchain. but when I use the python package for Ollama. Oct 25, 2023 · Here is an example of how you can create a system message: from langchain. 1' model to sagemaker and wanna use it as load_qa_chain from langchain. # Use three sentences maximum and keep the answer as concise as possible. Jul 3, 2023 · inputs ( Dict[str, str]) – Dictionary of chain inputs, including any inputs added by chain memory. For example, you can use the CharacterTextSplitter. You will go through the following steps: Load prompt from Hub; Initialize Chain; Run Chain; Commit any new changes to the hub; Prerequsites a. 11 langchain-cli 0. For example, for a given question, the sources that appear within the answer could like this 1. How to load documents from a variety of sources. question_answering import load_qa_chain # # Prompt # template = """Use the following pieces of context to answer the question at the end. Oct 4, 2023 · To customize the system message of the RetrievalQA's chain_type to map_reduce in your application, you can modify the from_chain_type method in the BaseRetrievalQA class and also adjust the prompt_template in the map_reduce_prompt. You were asking for suggestions on the most memory-efficient way to wrap the model for You signed in with another tab or window. Before we close this issue, we wanted to check with you if it is still relevant to the latest version of the LangChain repository. runnables import RunnablePassthrough from langchain_core. System Info langchain==0. You signed out in another tab or window. The OpenLLM instance you're creating with the server_url parameter seems to be a language model 4 days ago · langchain. Your name is {name}. Here's an example of how you could do this: from langchain_experimental. May 2, 2023 · I use the huggingface model locally and run the following code: chain = load_qa_chain(llm=chatglm, chain_type="map_rerank", return_intermediate_steps=True, prompt 4 days ago · langchain. Apr 29, 2023 · Just answering my question, the difference between having chat_history in RetrievalQA is this in ConversationalRetrievalChain. 1. Set up your LangSmith account Sep 9, 2023 · Yes, it is possible to run a Q&A bot for your fine-tuned Llama2 model in Google Colab using LangChain. " In this walkthrough, you will get started using the hub to manage prompts for a retrieval QA chain. os. 10. It's useful when you have a specific document or set of documents that you want to extract information from. chat_models import ChatOpenAI from dotenv import load_dotenv load_dotenv() def get_chain(template: str, variables, verbose: bool = False): llm = ChatOpenAI(engine=deployment_name) prompt_template = PromptTemplate( template=template, input_variables=variables, ) return Other way to achieve it using load_qa_chain method that uses types like stuffing, mapreduce, refine etc. An overview of the abstractions and implementions around splitting text. Apr 26, 2023 · I'm Dosu, and I'm helping the LangChain team manage their backlog. Load question answering chain. chain_type ( str) – Type of document combining chain to use. some text (source) or 1. from_chain_type() method. question_answering import load_qa_chain from langchain import HuggingFaceHub. Jun 26, 2023 · This will split the long document into smaller chunks and then pass them to the load_qa_chain function, allowing it to process the document without exceeding the token limit (docs/snippets/modules/chains/popular/vector_db_qa. You switched accounts on another tab or window. chains. Apr 8, 2023 · I want to use qa chain with custom system prompt template = """ You are an AI assis """ system_message_prompt = SystemMessagePromptTemplate. Windows langchain 0. return_only_outputs ( bool) – Whether to only return the chain outputs. Overview: LCEL and its benefits. LCEL was designed from day 1 to support putting prototypes in production, with no code changes, from the simplest “prompt + LLM” chain to the most complex chains. langchain. from_template (. You can also use Runnables such as those composed using the LangChain Expression Language. llm ( BaseLanguageModel) – Language Model to use in the chain. Should be one of “stuff”, “map_reduce”, “map_rerank”, and “refine”. run(input_documents=docs, question=instruction) But I only get one response for each document instead of 5 using the n parameter in the LLM. from_template(template) chat_prompt = ChatPromptTemplate. Arguments: chain: The langchain chain or Runnable with a `batch` method. Apr 18, 2023 · Haven't figured it out yet, but what's interesting is that it's providing sources within the answer variable. repo_id = "google/flan-t5-xl" view it on GitHub <#3275 The load_qa_chain function is used to load the question answering chain with the Sagemaker endpoint and the prompt template. It seems that this behavior occurs Apr 29, 2024 · What is load_qa_chain? load_qa_chain is a function in LangChain designed for question-answering tasks over a list of documents. Set up your LangSmith account Nov 21, 2023 · In this code, load_qa_chain function will use the ConversationChain instance chain which has BufferedWindowMemory as its memory. How do I set it up? In this walkthrough, you will get started using the hub to manage prompts for a retrieval QA chain. ollama import Ollama. How do I set it up? Dec 29, 2023 · Based on the information provided, it seems like you're trying to pass an instance of OpenLLM to the load_qa_with_sources_chain function. """ router_chain: RouterChain """Chain for deciding a destination chain and the input to it. ) For a detailed answer, What I wanted to achieve: Using load_qa to ask questions with relevant documents to get answer ImportError: cannot import name 'load_qa_with_sources_chain' from 'langchain. From what I understand, you are facing an issue where a custom prompt used with the load_qa_with_sources chain is not giving the expected answer, while it works correctly with LLMChain or LLM directly. Apr 5, 2023 · In fact, @harshil21 provided a workaround by manually creating and passing load_qa_chain. Jun 16, 2024 · Use the VLLM class from LangChain: Instead of directly using the LLM class from vllm, use the VLLM class provided by LangChain. Jul 17, 2023 · retrieval_qa: This chain is designed for question-answering tasks where the answer is retrieved from a given context. ¶. Aug 4, 2023 · Regarding your first question about the load_qa_with_sources_chain function, this function is used to load a question answering with sources chain. 4 days ago · langchain. Set up your LangSmith account I did some testing, and it seems like Ollama is the culprit for slowing down the program, but the thing is, when running. I've deployed 'mistralai/Mistral-7B-v0. Here is an example: from langchain_community. Apr 13, 2023 · from langchain import PromptTemplate from langchain. The BufferedWindowMemory will keep the last k=2 interactions in memory. document import Document example_doc_1 = """ Peter and Elizabeth took a taxi to attend the night party in the city. generative_agents. I wanted to let you know that we are marking this issue as stale. llms. But how do I pass the dictionary to load_qa_chain. However, you're encountering issues with this approach, even though loading the model directly from HuggingFace works fine. It is a parameter that you can pass to the from_chain_type method. chains import RetrievalQA from langchain. Here's how you can do it: data = loader. . llms. Reload to refresh your session. It can be used for both retrieval-based and # from langchain. If it is, please let us know by commenting on the issue. question_answering. outputs ( Dict[str, str]) – Dictionary of initial chain outputs. callbacks import AsyncIteratorCallbackHandler async def streaming (): stream_callback = AsyncIteratorCallbackHandler () chat = ChatOpenAI ( streaming = True, callbacks = [stream_callback], ** args) doc_chain = StuffDocumentsChain ( llm_chain = LLMChain (llm = chat, verbose = True), document_variable_name = 'context', verbose Jun 16, 2023 · Understanding `collapse_prompt` in the map_reduce `load_qa_chain` in ConversationalRetrievalChain In the context of a ConversationalRetrievalChain, when using chain_type = "map_reduce", I am unsure how collapse_prompt should be set up. chain. prompts import SystemMessagePromptTemplate, ChatPromptTemplate system_message_template = SystemMessagePromptTemplate. question_answering: This chain is a more general-purpose QA chain. Feb 26, 2024 · Checked other resources I added a very descriptive title to this question. This returns a chain that takes a list of documents and a question as input. Here's an example you could try: Here's an example you could try: template = """You are an AI chatbot having a conversation with a human. """ default_chain Nov 16, 2023 · You could leverage this existing class to add a memory feature to the RetrievalQA. 0. Contribute to langchain-ai/langchain development by creating an account on GitHub. The QA chain efficiently handles lists of input documents (docs) and a list of questions (chunks), with the response variable capturing the results, such as The process of bringing the appropriate information and inserting it into the model prompt is known as Retrieval Augmented Generation (RAG). I used the GitHub search to find a similar question and Jan 14, 2024 · Hello, I'm fairly new to langchain. document_loaders import WebBaseLoader ; locale. You provided system info, reproduction steps, and expected behavior, but haven't received a response yet. However, you can modify the function to return the raw response. 5-turbo) for generating the question. Here is an example of how you can use the CharacterTextSplitter. 1) Download a llamafile from HuggingFace 2) Make the file executable 3) Run the file. In this walkthrough, you will get started using the hub to manage prompts for a retrieval QA chain. from langchain_community. Regarding the "prompt" parameter in the "chain_type_kwargs", it is used to initialize the LLMChain in the "from_llm" method of the BaseRetrievalQA class. From what I understand, you were trying to integrate a local LLM model from Hugging Face into the load_qa_chain function. How do I set it up? Nov 21, 2023 · In this code, load_qa_chain function will use the ConversationChain instance chain which has BufferedWindowMemory as its memory. Dec 7, 2023 · Trying other chain types like "map_reduce" might solve the issue. from_tiktoken Jun 26, 2023 · This will split the long document into smaller chunks and then pass them to the load_qa_chain function, allowing it to process the document without exceeding the token limit (docs/snippets/modules/chains/popular/vector_db_qa. Jul 5, 2023 · n_ctx=1100 , ) return llm. cpp into a single file that can run on most computers without any additional dependencies. This combine_documents_chain is then used to create and return a new BaseRetrievalQA instance. This was suggested in a similar issue: QA chain is not working properly. ollama run mistral. Set up your LangSmith account Feb 18, 2024 · This method is called at the end of each step in the QA chain, and it appends the inputs and outputs of the step to the intermediate_results list. vllm import VLLM from langchain_core. It takes in a language model ( llm ), a chain_type which specifies the type of document combining chain to use, and a verbose flag to determine if the chains should be run in verbose mode or not. The following helper function fetches articles from Wikipedia and creates LangChain Documents. split_documents ( data) model = ChatLlamaAPI ( client=llama) Jun 13, 2023 · Hi, @LaxmanSinghTomar!I'm Dosu, and I'm here to help the LangChain team manage their backlog. Nov 12, 2023 · It uses the load_qa_chain function to create a combine_documents_chain based on the provided chain type and language model. An overview of Retrievers and the implementations Nov 21, 2023 · In this code, load_qa_chain function will use the ConversationChain instance chain which has BufferedWindowMemory as its memory. However, the load_qa_with_sources_chain function expects an instance of BaseLanguageModel as its first argument. You can add your custom callback to it using the add_callback method, and then pass the CallbackManager instance to the load_qa_chain function. environ["OPENAI_API_KEY"] = "sk-xxxxxxxxxx" def main(): global db, chain, entry, output # Add entry and output to the global variables Apr 21, 2023 · from langchain. Is this doable or is there any other way to do this 4 days ago · langchain. It first combines the chat history (either explicitly passed in or retrieved from the provided memory) and the question into a standalone question, then looks up relevant documents from the retriever, and finally passes those documents and the question to a question chain = load_qa_chain(llm=llm, chain_type='map_reduce') responses = chain. load () text_splitter = RecursiveCharacterTextSplitter ( chunk_size=500, chunk_overlap=0 ) all_splits = text_splitter. prompts import PromptTemplate from langchain_core. Here is an example of how you can use the chain_type_kwargs parameter: This integration establishes a robust question-answering (QA) pipeline, making use of the load_qa_chain function, which encompasses multiple components, including the language model. LangChain Expression Language (LCEL) LCEL is the foundation of many of LangChain's components, and is a declarative way to compose chains. 11 os=win Who can help? @hwchase17 @agola11 Information The official example notebooks/scripts My own modified scripts Related Components LLMs/Chat Models Embedding Models Prompts / Prompt Temp Feb 23, 2023 · This is possibly because the default prompt of load_qa_chain is different from load_qa_with_sources_chain. Sep 7, 2023 · The ConversationalRetrievalQAChain is initialized with two models, a slower model ( gpt-4) for the main retrieval and a faster model ( gpt-3. Please note that the load_qa_chain function is not explicitly mentioned in the provided context. Please let me know how to correctly use the parameter n or fix the current behavior! Regards Apr 2, 2023 · You signed in with another tab or window. mdx). sagemaker_endpoint import SagemakerEndpoint content_handler Apr 29, 2024 · What is load_qa_chain? load_qa_chain is a function in LangChain designed for question-answering tasks over a list of documents. from_chain_type method is used to pass additional arguments to the load_qa_chain function. 178 python==3. llamafiles bundle model weights and a specially-compiled version of llama. exists ( repo_path ): Apr 26, 2023 · 🦜🔗 Build context-aware reasoning applications. We then provide a deep dive on the four main components. I searched the LangChain documentation with the integrated search. from_tiktoken_encoder or TokenTextSplitter if you are using a BPE tokenizer like tiktoken. From what I understand, you raised an issue about load_qa_with_sources_chain not returning the expected result, while load_qa_chain succeeds. document_loaders import TextLoader from lang Apr 29, 2024 · What is load_qa_chain? load_qa_chain is a function in LangChain designed for question-answering tasks over a list of documents. If False, inputs are also added to the final outputs. from_chain_type is not hardcoded in the LangChain framework. Some users have also suggested trying other chain types like map_reduce. It integrates with Language Models and various chain types to provide precise answers. qa_with_sources' The text was updated successfully, but these errors were encountered: All reactions Apr 27, 2023 · from langchain. chat_models import ChatOpenAI. LangChain has a number of components designed to help build Q&A applications, and RAG applications more generally. The CallbackManager class is used to manage the callbacks. getpreferredencoding = lambda: "UTF-8" def load_repo_branch ( repo_path, repo_url ): if os. The default value for chain_type is "stuff", but you can pass any string that corresponds to a In this walkthrough, you will get started using the hub to manage prompts for a retrieval QA chain. An overview of VectorStores and the many integrations LangChain provides. from langchain. This dictionary should contain the keyword arguments that you want to pass to the load_qa_chain function. I tried to do it using a prompt template but prompt templates are not its parameters. This repo consists of examples to use langchain. # If you don't know the answer, just say that you don't know, don't try to make up an answer. # {context} I am trying the question answer with sources notebook, chain = load_qa_with_sources_chain(OpenAI(temperature=0), chain_type="stuff") chain({"input_documents": docs Jul 6, 2023 · I want to input my set of questions and answers dictionary and evaluate the answers. some text (source) 2. Note: Here we focus on Q&A for unstructured data. load_qa_chain. Jun 22, 2023 · Feature request Consider the following example: # All the dependencies being used import openai import os from dotenv import load_dotenv from langchain. Based on the information you've provided, it seems like you're trying to load a locally downloaded LLM model using the CTransformers class in the LangChain framework. loadQAStuffChain is a function that creates a QA chain that uses a language model to generate an answer to a question given some context. Oct 17, 2023 · Currently, the load_qa_with_sources_chain function does not provide direct access to the raw response from the OpenAI API. "You are a helpful AI bot. I initially used the ConversationalRetrievalQAChain construct, but then i stumbled in this LCEL page https://js. document_loaders import GitLoader import re import time from langchain. How do I set it up? 4 days ago · langchain. py file. the model responds almost immediatly. qa_with_sources import load_qa_with_sources_chain from langchain. cb lg pm mv zg yu mz li gu kt
