Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
Click the web, then scroll to zoom
Every note is in the list below. The web of topics draws here once the page has loaded.
9 of 2,343 notes match.
- Question answered
- Source note
- Topic
- Shared notes
Notes on information retrieval
9 notes
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations
A research paper proposes a new method for document search called Reliable Embedding-free Agentic Document-search (READ), which is designed to overcome limitations in current methods for long documents, particularly…
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations
The paper proposes a new approach for document search called 'READ (Reliable Embedding-free Agentic Document-search)', which aims to address the issues with current black-box retrieval designs in handling long…
AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis
AskChem is a system designed to help scientists and AI agents find specific information in chemistry literature more efficiently. It changes the unit of retrieval from entire papers to 'claims', which are atomic, typed…
A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility
Researchers introduce APS-RAG, a platform that makes it easier for staff at the Advanced Photon Source (APS) to access institutional knowledge through natural language queries. The platform combines multiple channels…
PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
Researchers propose a method called PLAID-PRF to improve the effectiveness of multi-vector dense retrieval models like ColBERT. This method uses centroid-based quantization in PLAID, a model that reduces index size and…
SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
Researchers introduce SearchOS, a system-level framework designed to improve the efficiency of multi-agent information-seeking systems. By making search progress explicit and persistent, it helps prevent repetitive…
SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
The paper introduces SearchOS, a system-level multi-agent framework designed to improve the quality and completeness of search results in open-domain information-seeking tasks. The framework addresses the issue of…
Field Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata Retrieval
Researchers propose a method to improve the quality of data retrieval from structured metadata catalogs by introducing permutation-invariant fine-tuning (PI-FT). This technique helps in maintaining the same retrieval…
Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization
The authors present a framework for evaluating and comparing different types of RAG (Retrieval Augmented Generation) scenarios, including GraphRAG and Agentic RAG. They provide implementations for nine standardized RAG…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
