Latest on our Blog

Our blog explores innovative techniques for contextualizing, enriching, and storing data for AI applications. We cover topics such as Retrieval-Augmented Generation (RAGs), Graph-RAGs, and vector stores, combining approaches from cognitive sciences, computer science, and more.
Going beyond LangChain 4
Going beyond LangChain 4
In our quest for a robust RAG model, we delve into memory architecture and integrate with keepi.ai. Using human-inspired cognitive processes, we optimize data management with a focus on graph databases.Read more ➔
Going beyond LangChain 3
Going beyond LangChain 3
Enhancing RAG applications involves testing adjustable parameters like document quantity and chunk size. Challenges include reliably linking memories and organizing memory elements for human-like understanding. We need to ensure robust AI development.Read more ➔
Going beyond LangChain 2
Going beyond LangChain 2
At Level 2, our AI script advances with Memory Layer, FastAPI, Langchain, and Weaviate. Our Proof of Concept (POC) enables PDF upload and specific actions like translation. Attention modulators help data retrieval, mirroring cognitive science principles.Read more ➔
Going beyond LangChain 1
Going beyond LangChain 1
In 2023, 7,000 new AI projects emerged, driven by model advancements and community collaboration. Despite this, many applications are rudimentary, prompting the need for a unified Large Language Model (LLM) platform.Read more ➔