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Agentlas is a free, open-source agent memory system that uses a local SQLite database combined with lightweight embedding and keyword search to achieve 96.4% on LongMemEval without calling an LLM, outperforming alternatives like mem0 and supermemory.
LlamaParse introduces new document retrieval endpoints including hybrid search, file grep, file find, and file read, aiming to improve agentic retrieval quality over unstructured documents.
Cito is a hybrid academic search tool over 236 million papers, designed for AI agents.
Alibaba released Zvec, a fully open-source vector database (Apache 2.0) that can be installed via pip and supports dense, sparse, and hybrid search for RAG applications, processing billions of vectors in milliseconds.
Technical deep dive into Lume, a Rust hybrid search engine that combines BM25, dense vectors, and entity graphs for auditable, local-first retrieval.
A developer shares that the real problem in a RAG app was the retrieval step failing on version numbers and codes, fixed by hybrid search (vector + BM25 + reciprocal rank fusion), not the model.
GBrain is a tool that enhances AI agents with synthesis, gap analysis, a self-wiring typed knowledge graph, hybrid search, and a nightly dream cycle, all built on top of existing .md files in Obsidian.
GBrain is a state-of-the-art retrieval tool for AI agents, released under MIT license, featuring hybrid search, self-wiring knowledge graphs, and temporal question answering, built by Y Combinator's CEO for his own agents.
A developer shares the failure modes encountered while debugging a RAG system, including issues with chunking, stale indices, and hybrid search, along with practical fixes like sliding window chunking and contextual retrieval.
The author argues that most agent RAG failures are due to retrieval problems—specifically chunking errors, lack of freshness signals, and reliance on pure vector search—rather than the LLM, and recommends structural chunking, decay-based ranking, and hybrid BM25+vector search.
Jerry Liu asks about the current state-of-the-art for file search and retrieval, listing options from grep to hybrid search over a database.
This paper describes a system for SemEval-2026 Task 8 that uses a three-stage pipeline involving query rewriting with a fine-tuned Qwen model, hybrid retrieval, and cross-encoder reranking to improve multi-turn retrieval performance.
The article argues against overusing vector search, highlighting BM25's effectiveness for exact keyword matching and its role in hybrid search systems.
Alibaba releases Zvec v0.5.0, an open-source in-process vector database with new features including full-text search, hybrid retrieval, DiskANN index, and new SDKs for Go, Rust, plus a visual tool.