The above code uses the from_connection_string method with the following arguments to create an instance of MongoDBParentDocumentRetriever: connection_string: Connection string for your MongoDB Atlas cluster. embedding_model: Embedding model for the vector store. This was initialized previously. child...
Understanding DeepEval DeepEval is an open-source evaluation framework designed specifically for large language models, enabling developers to efficiently build, improve, test, and monitor LLM-based applications. It simplifies the process of evaluating LLM outputs by allowing users to "unit test" their...
Large language models (LLMs) have taken the world by storm, wowing us with their ability to generate remarkably human-like text. But for all their prowess, these AI marvels still face major roadblocks – especially when it comes to knowledge-intensive tasks requiring up-to-date, factual infor...
This integration of language understanding and code execution makes the tool capable of assisting with programming tasks and data analysis. We specify that we want to use the code interpreter tool in our call when creating an assistant, like this: assistant = client.beta.assistants.create( name...
Sridhar Vedantham: So if I can just interrupt here, what I’d like is if you could, you know, spend a couple of minutes maybe talking about what evaluating an LLM actually means and how do you go about that? Sunayana Sitaram: Sure. So when we talk abou...
The function invokes an Qdrant Service API to send the request to the vector database to find the top k similar documents. The function creates a prompt with the user query and the similar documents as context and asks the large language model (LLM) to generate a response. The response ...
Response generation: The resulting data is submitted along with other information like the system message to the Large Language Model (LLM) and the response is sent back to the application.To get started, connect your data source using Azure AI Foundry portal and start asking questions and chatti...
Perplexity-Inspired LLM Answer Engine This repository contains the code and instructions needed to build a sophisticated answer engine that leverages the capabilities of Groq, Mistral AI's Mixtral, Langchain.JS, Brave Search, Serper API, and OpenAI. Designed to efficiently return sources, answers,...
something similar. We found some vendor that tried to realize tool to relize documentation with AI/LLM solutions, and also system integrator that made valuable tool for their migration project, that they are extending as standalone product. But so...
The quality of the LLM-generated information depends on well-crafted prompts. AI-based VS code extension was not able to give me the code that I was looking for, so it took up all my time (which I got very annoyed about). I think I just didn’t word the question well. (P28) Co...