Browsing Tag
rag
21 posts
How a history-aware retriever works?
The history-aware retriever discussed in this post is the one returned by the create_history_aware_retriever function from the LangChain…
Hill climbing generative AI problems: When ground truth values are expensive to obtain & launching fast is important
For many generative AI applications it is expensive to create ground truth answers for a set of inputs…
Building a RAG Chatbot with LlamaIndex and eBay API Integration
RAG (Retrieval-Augmented Generation) is all the rage. And there’s a good reason why. Like so many others, I…
Advanced Indexing Techniques with LlamaIndex and Ollama: Part 2
Advanced Indexing Techniques with LlamaIndex and Ollama: Part 2 Code can be found here: GitHub – jamesbmour/blog_tutorials: Welcome…
Exploring Retrieval Augmented Generation (RAG): Chunking, LLMs, and Evaluations
Retrieval Augmented Generation (RAG) is a useful technique for using your own data in an AI-powered Chatbot. In…
Snapshots for AI: A “RAG-Like” solution for programming with LLMs
Picture this: You’re a developer, deep in the trenches of a complex project. Your trusty AI assistant, powered…
Guardrails AI, AAAL Pt.5
As I explored the landscape of adversarial robustness in LLMs, Guardrails AI stood out for its open-source approach…
Multimodal RAG locally with CLIP and Llama3
With the recent release of GPT-4o and Gemini, multimodal has been a hot topic lately. Another one that…
Let’s Build One Person Business Using 100% AI
AI made it possible for 9-to-5 workers to start a one-person business without quitting their jobs. Full Article…
Enhancing LLMs through RAG Knowledge Integration
LLMs are revolutionizing the way we interact with machines. Their ability to understand, summarize, and generate text is…
