information-retrieval

AgentSearch is a framework for powering search agents and enabling customizable local search.

Dataset and benchmark for RAG on company internal documents.

Data-Driven Evaluation for LLM-Powered Applications

The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search: Modern Retrieval for Humans & Agents" Maven course

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.

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Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

Text2Text Language Modeling Toolkit

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

High-Performance Engine for Multi-Vector Search

A library-science-inspired personal knowledge management system with LLM agents

OCR, Archive, Index and Search: Implementation agnostic OCR framework.

Turn PDFs into clean, structured Markdown

Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.

Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

Official repository of the Seismic library.