A developer built raven-retrieval, an open-source framework that benchmarks 19 retrieval pipelines on BEIR datasets with Bonferroni-corrected significance tests. The key finding is that top pipelines …
A new arXiv preprint introduces ColGraphRAG, a late-interaction evidence retrieval method for multimodal GraphRAG that replaces single-vector bi-encoder similarity with MaxSim-style multi-vector scori…
A developer built a production-ready semantic search engine for e-commerce using open-source tools: sentence-transformers for embedding, FAISS for vector indexing, and FastAPI for serving. The pipelin…
Qdrant reduced retrieval-augmented generation token costs by 67% using native ColBERT reranking, which performs token-to-token matrix comparison inside the database in a single query call, eliminating…
A study benchmarking six RAG architectures on a financial PDF reveals that Vision RAG achieves the highest answer correctness (0.823) but low faithfulness (0.538), while Graph RAG is the most faithful…
Researchers Bhavik Chandna and Procheta Sen introduced a counterfactual explanation framework for retrieval models that identifies which terms need to be added to a document to improve its ranking, ad…
Researchers introduced DR-DCI, a retriever-steered Direct Corpus Interaction framework that dynamically expands a local workspace for agentic search over large corpora. On Browsecomp-Plus, DR-DCI achi…
A GigaOm CxO Decision Brief argues that production AI retrieval systems require tensor-native architectures rather than simple vector search. The brief explains that real-world queries need simultaneo…