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AnswerDotAI avatar

AnswerDotAI/rerankers

0
View on GitHub↗
1,621 stars·103 forks·Python·Apache-2.0·16 views

Rerankers

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

Features

  • Retrieval Augmented Generation - Unified API for various reranking models.

Star history

Star history chart for answerdotai/rerankersStar history chart for answerdotai/rerankers

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Rerankers

These projects share indexed features with Rerankers. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • anthropics/anthropic-cookbookanthropics avatar

    anthropics/anthropic-cookbook

    45,984View on GitHub↗

    This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and workflow patterns with large language models. It serves as a prompt engineering guide, an evaluation suite for scoring prompt quality, and a framework for orchestrating agents and integrating external tools. The project provides implementation patterns for building applications with Claude, specifically focusing on coordinating multiple models to split complex tasks between high-reasoning and high-efficiency agents. It includes technical demonstrations for multimodal data proce

    Jupyter Notebook
    View on GitHub↗45,984
  • amazon-science/ragcheckeramazon-science avatar

    amazon-science/RAGChecker

    1,093View on GitHub↗

    RAGChecker: A Fine-grained Framework For Diagnosing RAG

    Python
    View on GitHub↗1,093
  • aiplanethub/beyondllmaiplanethub avatar

    aiplanethub/beyondllm

    296View on GitHub↗

    Build - Rapid Experiment - Evaluate - Observability

    Jupyter Notebook
    View on GitHub↗296
  • 1panel-dev/maxkb1Panel-dev avatar

    1Panel-dev/MaxKB

    21,337View on GitHub↗

    MaxKB is a self-hosted retrieval-augmented generation platform designed to connect internal document repositories with large language models. It functions as an enterprise knowledge management system that enables organizations to query private data through a conversational interface, providing automated responses based on uploaded files and internal business information. The platform distinguishes itself by normalizing diverse data sources into a unified index, which is then processed through chunking and vector-based retrieval to ensure context-aware results. It manages session state and pro

    Pythonagentagentic-aichatbot
    View on GitHub↗21,337
Compare all 30 related projects→

Frequently asked questions

What does answerdotai/rerankers do?

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

What are the main features of answerdotai/rerankers?

The main features of answerdotai/rerankers are: Retrieval Augmented Generation.

Which projects share features with answerdotai/rerankers?

Projects with overlapping indexed features include: anthropics/anthropic-cookbook — This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and… amazon-science/ragchecker — RAGChecker: A Fine-grained Framework For Diagnosing RAG. aiplanethub/beyondllm — Build - Rapid Experiment - Evaluate - Observability. asg017/sqlite-vec — sqlite-vec is a C-based vector library and SQLite extension that adds virtual tables for storing and querying… bhavnicksm/chonkie. 1panel-dev/maxkb — MaxKB is a self-hosted retrieval-augmented generation platform designed to connect internal document repositories with…