01-LangChain-RAG Get started with LangChain and Ollama, being able to use various local LLMs and Word Documents as sources for Retrieval Augmented Generation (RAG). Have it answer a few questions and see what they give you. 02-LangChain-RAG LangSmith ...
24 rag_chain = retrieve | prompt | llm | parse_output The above code creates a RAG workflow with parent document retrieval in LangChain. At a high level, it does the following: Gathers context to answer questions using the parent_doc_retriever we created in Step 5 Creates a prompt templat...
In LangChain, memory is implemented by passing information from the chat history along with the query as part of the prompt. LangChain provides us with different modules we can use to implement memory. Based on the implementation and functionality, we have the following memory types in LangChain...
LangChain is a Python framework built to enable developers to feed custom data to LLMs and to interact with LLMs in the following ways: Chains: Creates a chain of operations within a workflow. LangChain enables you to link actions like calling APIs, querying multiple LLMs, or storing data ...
I offer tailored Large Language Model (LLM) solutions to meet your unique business needs. By fine-tuning an LLM on your custom data using LangChain, I can create responses that are highly relevant to...
chatchat-space/langchain-ChatGLM: langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识库的 ChatGLM 问答 (github.com) 🤖️ 一种利用langchain思想实现的基于本地知识库的问答应用,目标期望建立一套对中文场景与开源模型支持友好、可离线运行的知识库问答解决方案。
Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B - marklysze/LlamaIndex-RAG-WSL-CUDA
This template includes a system message defining the AI's role and a user message template with a placeholder for the output. Further, an LLMChain object is then created, combining the language model and the prompt template. The content of the retrieved documents is extracted and concatenated ...
Use Ollama to experiment with the Mistral 7B model on your local machine Run the project locally to test the chatbot Explain the RAG pipeline and how it can be used to build a chatbot Walk through LangChain.js building blocks to ingest the data and generate answers ...
It’s more complicated, but it’s conceivable that the LLM could be provided with tools from the specific Automate Flow, and use that to work out a decision itself. Looking at a library like Langchain, the prompt could look something like this:...