Installation and Configuration of Flowise AI for Creating RAG Agents
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What is RAG? A Deep Dive into Risk Assessment and Governance
The Importance of RAG in Project Management and Decision Making
Personal AI assistant on your data. Part 1: Vector Database ChromaDB + DeepSeek | GPT
Today we’ll talk about a topic that sparks lively interest among many developers and AI enthusiasts — integrating large language models like DeepSeek or ChatGPT with…
Replacement of Langchain: How OpenAI Agents SDK Handles Deep Search?
Agents are super buggy. In our company projects, we noticed that Langchain started to perform worse. In multi-agent systems, agents often loop because they don’t understand…
Advisor: Employment Assistant
Hello, tekkix! My name is Gurtziev Richard, I am a first-year master's student at AI Talent Hub. During the first semester, I immersed myself in a cool project, the goal…
Improving RAG with Knowledge Graphs
Generation with augmented sampling is a method that connects external data sources to improve the output of large language models. This method is ideal for LLM to access…
Basics and advanced techniques of RAG
In this post, we will talk in detail about RAG at each of its stages, its modifications, and its promising directions of development at the time of writing.
Hallucinations in LLM and methods of combating them
One of the main problems with using large language models in business is that LLMs are prone to hallucinations. How can you trust your customers to a chatbot that can…
Generation of augmented extraction: from theory to implementation of LangChain
From the theory of the original academic paper to its implementation in Python with OpenAI, Weaviate, and LangChain
Hippo-RAG: Long-term memory for LLM inspired by neurobiology
Scientists are often inspired by our or animal biological structures: CNN, MLP, Backprop, and for many other studies, similarities can be found in the real world. Recently,…
Detection of DGA domains or a test task for the position of intern ML-engineer
In this article, we will consider a simple task that is used by one company as a test task for interns for the position of ML-engineer.
