I'd like to combine a ConversationalRetrievalQAChain with - for example - the SerpAPI tool in LangChain. I'm using ConversationalRetrievalQAChain to search through product PDFs that have been inges...

I have around 30 GB of JSON data with multiple files, wanted build query bot on this. I have built same with text file but i am not sure how it will work for JSON data. I have explored JSONLoader b...

I would like to pass to the retriever a similarity threshold. So far I could only figure out how to pass a k value but this was not what I wanted. How can I pass a threshold instead? from langchain...

I am trying to provide a custom prompt for doing Q&A in langchain. I wasn't able to do that with RetrievalQA as it was not allowing for multiple custom inputs in custom prompt.I have loaded a s...

I am trying to create chunks (max) 350 characters long with 100 chunk overlap. I understand that chunk_size is an upper limit, so I may get chunks shorter than that. But why am I not getting any ch...

I have the following code that implements LangChain + ChatGPT to answer questions from given data: import { PineconeStore } from 'langchain/vectorstores/pinecone'; import { ConversationalRetrievalQ...

I'm using LangChain to build a NL application. I want the interactions with the LLM to be recorded in a variable I can use for logging and debugging purposes. I have created a very simple chain: fr...

Im creating a text document QA chatbot, Im using Langchainjs along with OpenAI LLM for creating embeddings and Chat and Pinecone as my vector Store. See Diagram: After successfully uploading embed...

I am looking for a way to limit the tokens per minute when saving embeddings in a Chroma vector store. Here is my code: [...] # split the documents into chunks text_splitter = CharacterTextSplitter...

When we look at HuggingFaceHub model usage in langchain there's this part that the author doesn't know how to stop the generation, https://github.com/hwchase17/langchain/blob/master/langchain/llms/...

I am using Langchain to interact with a long piece of text. The text is split into chunks, which are passed in as the docs variable below. I have set up a chain that streams my response, however I ...

I want to query my mongo collection using LangChain. Just like we have SQLDatabaseChain in LangChain to connect with a SQL database such as Postgres, do we have something similar to connect with a ...

Trying to combine multiple memory types with a langchain conversational chain. import os from langchain.chains import ConversationChain from langchain.memory import ( ConversationBufferMemory, ...

I have written an application in langchain that passes a number of chains to a Sequential Chain to run. The problem I'm having is that the prompts are so large that they are exceeding the 4K token ...

How do i add memory to RetrievalQA.from_chain_type? or, how do I add a custom prompt to ConversationalRetrievalChain? For the past 2 weeks ive been trying to make a chatbot that can chat over docum...

I just have a newly created Environment in Anaconda (conda 22.9.0 and Python 3.10.10). Then I proceed to install langchain (pip install langchain if I try conda install langchain it does not work)....

Whats the recommended way to define an output schema for a nested json, the method I use doesn't feel ideal. # adding to planner -> from langchain.experimental.plan_and_execute import load_chat_...

I'm just getting started with working with LLMs, particularly OpenAIs and other OSS models. There are a lot of guides on using LlamaIndex to create a store of all your documents and then query on t...

Langchain have added this function ConversationalRetrievalChain which is used to chat over docs with history. According to their documentation here ConversationalRetrievalChain I need to pass promp...

I am a brand new user of Chroma database (and the associate python libraries). When I call get on a collection, embeddings is always none, even if embeddings are explicitly set/defined when adding ...

I’m trying to use LangChain’s AzureOpenAI as below but getting this error. Do you know how can I fix this? openai.error.InvalidRequestError: Resource not found # Import Azure OpenAI from langchain....

from langchain import PromptTemplate, HuggingFaceHub, LLMChain import os os.environ['HUGGINGFACEHUB_API_TOKEN'] = 'token' # initialize HF LLM flan_t5 = HuggingFaceHub( repo_id="google/flan...

I want to create a self hosted LLM model that will be able to have a context of my own custom data (Slack conversations for that matter). I've heard Vicuna is a great alternative to ChatGPT and so ...

I am learning how to use langchain and I have written a small exercise to try and figure out how agents work. I have a small Python program that looks like this: import os from langchain.agents im...

Im using a conversational agent, with some tools, one of them is a calculator tool (for the sake of example). Agent initializated as follows: conversational_agent = initialize_agent( agent='chat-c...