Retrieval
49 items across the graph · 1 news stories — tagged with Retrieval.
Latest news
Build enterprise search for agents with Amazon Bedrock Managed Knowledge Base - Amazon Web Services (AWS)
Build enterprise search for agents with Amazon Bedrock Managed Knowledge Base Amazon Web Services (AWS)
Read full story →From the graph · 48
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Open Source AI Platform - AI Chat with advanced features that works with every LLM
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with exp…
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connect…
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats fo…
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Harness LLMs with Multi-Agent Programming
OpenKB: Open LLM Knowledge Base
Open-source inference server and production cluster for all the models your agent needs.
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code,…
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Glo…
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form bui…
MIDI / symbolic music tokenizers for Deep Learning models 🎶
cuVS - a library for vector search and clustering on the GPU
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your netw…
Fast, streaming indexing, query, and agentic LLM applications in Rust
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space
Multimodal RAG to search and interact locally with technical documents of any kind
A modular, skill-based autonomous Security Operations Center (SOC) agent that monitors OpenSearch/Elasticsearch data, builds RAG-based behavioral memory, and va…
Foundation models based medical image analysis
Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚
Provenance-first extractive RAG: return verbatim source spans with citations using local ModernBERT or optional LLM-assisted extraction.
A library-science-inspired personal knowledge management system with LLM agents
summaries of all the papers I read
Official Implementation for the ACL 2026 paper "SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression"
The marketplace for verifiable AI outcomes: state a task, get a fixed price upfront, and Primitive Bench routes across tools to complete it, refunded if the out…
All-in-One Multimodal Parsing Engine + Ontology-Powered AI-Ready Knowledge Engine Parse every modality. Compile knowledge with ontology. Reason before retrieval…
ConDB: The KV-Cache Native Context Database
Deterministic agentic-style multi-hop RAG at research-SOTA parity on commodity LLM APIs — no GPU, proof tree per answer.
Run, quantize, and fine-tune LLMs on Apple Silicon. Pure Rust, no Python, no CUDA, no ONNX
A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information o…
A model-facing canon for semantics, semiotics, symbols, meaning, reference, and interpretation.
An advanced semantic search and knowledge retrieval framework designed for academic research and intelligent information discovery.
A Go-based Open Source Universal Memory server that exposes a Model Context Protocol (MCP) interface for LLM clients. It provides semantic document search (for…
Chunk, embed, and query your documents with a vector store.
Retrieval and embedding infrastructure for developers.
A visual workspace for building and querying embeddings.
Most 'reasoning' failures are really retrieval failures in disguise.
A list of numbers that represents meaning, so similar things sit close together.
A state-of-the-art text embedding model for retrieval.
KiM Explorer is a two-stage RAG application for transport policy research publications from the KiM Netherlands Institute for Transport Policy Analysis. Users p…