Loading...
Loading...
Loading...
30 documents available
The Smart Hybrid Retrieval system is a **4-phase intelligent knowledge retrieval algorithm** that combines semantic search, graph expansion, completeness verification, and multi-factor ranking to provide comprehensive and accurate results.
title: Just-in-Time Context Retrieval
* Store data when you give it
data: curl images.crossinstall.com/index.html
This document describes the target ChonkyDB retrieval contract Twinr needs to
🤔 After trying this it quickly becomes evident that the speed is not satisfactory. Of course we could conclude we need it to be hosted in a assets worker but that would make it way less scalable. There are several other ways to improve speed though, so let's do it.
category: deep_learning
> 原文：<https://blog.paperspace.com/dense-passage-retrieval/>
The goal of this work is to take the discovery done in the previous sections and, through both database schema and UDFs (User-Defined PGSQL functions), deliver `ts_headline` functionality up to 10x faster than the OOTB `ts_headline` functionality.
This guide explains how to run a local [Kubo](https://github.com/ipfs/kubo) node that retrieves IPFS content through a guppy gateway.
description: How to configure and use bitswap retrievals in Boost
This repository is the implementation of [Audio Retrieval with Natural Language Queries](https://arxiv.org/pdf/2105.02192.pdf) and it is based on the [Use What You Have: Video retrieval using representations from collaborative experts](https://github.com/albanie/collaborative-experts) repo. Datasets used in this paper are [AudioCaps](https://www.aclweb.org/anthology/N19-1011.pdf), [CLOTHO](https://arxiv.org/pdf/1910.09387.pdf), [Activity-Net](https://arxiv.org/pdf/1705.00754.pdf) and [QuerYD](ht
<sub><sup>*written by julia biswas & isha sinha, cs124 staff team, winter '25/'26*</sup></sub>
[](https://notebooks.gesis.org/binder/v2/gh/AyrtonB/Merit-Order-Effect/main?filepath=nbs%2Fdev-01-retrieval.ipynb)
检索是聊天机器人常用的一种技术，用于在聊天模型的训练数据之外增加数据以增强其响应。本节将介绍如何在聊天机器人的上下文中实现检索，但值得注意的是，检索是一个非常微妙和深入的话题 - 我们鼓励您探索[文档的其他部分](/docs/how_to#qa-with-rag)，这些部分会更深入地介绍这个话题！
> **REQUIRED:** Memory retrieval is **internal**. Results surface in LiveHud gauges, not as pre-output logs.
**Status**: Implemented
- [Release Signoff Checklist](#release-signoff-checklist)
DBConnectionManager["DBConnectionManager"]
[](https://notebooks.gesis.org/binder/v2/gh/AyrtonB/Merit-Order-Effect/main?filepath=nbs%2Fug-05-data-retrieval.ipynb)
DBFlow provides a few ways to retrieve information from the database. Through the `Model` classes we can map this information to easy-to-use objects.
title: "Clip-Retrieval Update: H-14 Index & SLURM Inference"
In this session, you will learn how to obtain data from web APIs as well as parse and normalize the data to use in a chart.
The simplest way to retrieve a record is by its ID
