Advanced semantic text chunking with custom structural markers, whole-text coherence preservation, and flexible token management. Features async processing, LangChain integration, and dynamic drift…

Turn any LLM into a self-extending knowledge agent powered by a graph-structured memory - complete with PDF-to-graph ingestion, budget-aware optimisation, and dual-engine orchestration.

A Python-based framework for optimizing prompts using genetic algorithms and language models. This project provides a flexible and extensible system for creating and optimizing prompts for various …

This project processes and retrieves information from PDF file or PDF collection. It leverages Qdrant as a vector database for similarity searches and employs a Retrieval-Augmented Generation (RAG).