How xMemory cuts token costs and context bloat in AI agents

When standard RAG pipelines retrieve redundant conversational data, long-term AI agents lose coherence and burn tokens.
Business Insider

POMA AI Achieves Best-in-Class RAG Chunking and Document Ingestion With 77% Token Reduction vs. Conventional Models

Berlin, BERLIN, March 16, 2026 (GLOBE NEWSWIRE) -- POMA AI, a Berlin-based document intelligence company, today released POMA-OfficeQA, an open-source benchmark demonstrating that its structure-aware ...
Geeky Gadgets

How to use Embeddings in RAG with Llama-Index

In the realm of natural language processing (NLP), the concept of embeddings plays a pivotal role. It is a technique that converts words, sentences, or even entire documents into numerical vectors.
VentureBeat

New technique makes RAG systems much better at retrieving the right documents

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Retrieval-augmented generation (RAG) has ...
MarketWatch

POMA AI Achieves Best-in-Class RAG Chunking and Document Ingestion With 77% Token Reduction vs. Conventional Models

The MarketWatch News Department was not involved in the creation of this content. Berlin, BERLIN, March 16, 2026 (GLOBE NEWSWIRE) -- POMA AI, a Berlin-based document intelligence company, today ...