Tools tagged with "Reranking"

JARVIS RD Assistant is an open source, self-hosted workspace for researchers who want to search scientific literature and trace AI-generated answers back to papers. It runs on your own hardware with Ollama and connects literature review with PDF annotation, learning cards and research projects. It uses the Apache 2.0 license.

FastEmbed is a Python library for developers building semantic search and retrieval-augmented generation (RAG). It turns text into vectors and evaluates search results on your own hardware without requiring a cloud embedding API.

ZettaBrain RAG is a self-hosted document assistant for individuals and small teams working with policies, contracts and internal manuals. It helps them find answers and draft documents from files they already keep on their own infrastructure.

OpenVINO Model Server is a self-hosted inference server for developers and teams serving AI models on their own machines or servers. It uses OpenVINO to run workloads on x86 CPUs, including Xeon, with acceleration for Intel integrated and discrete GPUs and NPUs. It's open source under Apache 2.0.

total-agent-memory gives AI coding agents persistent memory of decisions, fixes and project conventions across sessions and repositories. It's for developers who don't want to keep explaining earlier work to Claude Code, Codex CLI, Cursor or another MCP client.

wigolo gives AI agents web access from a server on your own machine. It's for developers who want coding assistants or self-hosted agents to gather web evidence and reuse what they've already fetched.

LibreChat is a self-hosted ChatGPT alternative for people and teams who want to use different AI providers in one chat workspace. It lets you switch models while keeping conversations in the same interface.

EverOS is a Python library and memory runtime for developers building agents that need context across sessions and applications. It keeps conversations, files and task histories in readable Markdown that you can edit and version with Git.

M Flow is a self-hosted memory engine for developers whose AI agents need to recall past conversations and work preferences. It runs in Python or Docker and supports Ollama for local model use, alongside providers such as OpenAI and Anthropic. Choosing a cloud provider sends model requests to that service.

Memind gives AI agents long-term memory for projects, user preferences and past tasks. Developers can use it to carry context between sessions while keeping links to the material each memory came from.

Twinny is an AI coding assistant for developers who want completion and help with their repository inside VS Code, using models on their own hardware or a chosen server.

MindsDB Query Engine gives developers building AI agents one SQL interface for business data and document search. It runs as a standalone server and can also provide data access to MindsHub agents.

Quivr is a content search and monitoring engine for developers building applications around incoming material and topics they want to follow over time. It's at an evaluation stage, and the project advises against production use because its API may change without notice.

sage-wiki turns a document collection into a linked wiki and knowledge graph for researchers, teams, and AI agents that need reusable knowledge across tasks.

QAnything is a local knowledge base for people and teams who want to ask questions about their own documents. It supports offline operation and questions across Chinese and English document collections.

Infinity Embeddings is a self-hosted model server for developers building semantic search and retrieval-augmented generation applications. It runs retrieval models on your own hardware and can serve several models together.

llmware is a Python framework for developers building applications that answer questions using their own documents or carry out multi-step AI agent workflows. It focuses on small, specialized models that can run on laptops, edge devices, and self-hosted servers.

rerankers is a Python library for developers building search and retrieval systems. It ranks candidate documents against a query and lets you compare reranking approaches through a shared interface.

RAGFlow helps teams build AI agents that answer questions using their own documents. It extracts content from complex files and retrieves supporting material that readers can check.

MemSearch gives coding assistants searchable project history across sessions. It's for developers who want to recover earlier fixes, revisit design decisions or continue work in another agent.

JamAI Base is an AI backend for developers building chatbots and applications that use their own documents and structured data. Its spreadsheet-like interface brings prompts, generated data and LLM workflows into tables.

RankLLM is a Python toolkit for search researchers and developers who want to compare how AI models reorder retrieved documents by relevance. Its main focus is listwise reranking, where a model considers several candidates together. It supports local inference and optional cloud APIs, and it's open source under the Apache 2.0 license.

MLX VLM is a Python package for developers and researchers who want to run multimodal models on their own Mac. It supports local inference and fine-tuning through MLX.

Zep Community Edition is a self-hosted memory service for developers building AI agents and conversational assistants. It turns chat history into connected facts so an assistant can recall context across conversations and distinguish current preferences from older ones.

Sentence Transformers is a Python library for developers building search and document retrieval on their own hardware. It helps match content by meaning and rank results against a query.

Siftly helps people with large Twitter/X bookmark collections find saved posts and organize them by topic. It runs on your own machine, with AI processing handled by the endpoint you choose.

AQBot is a desktop AI workspace for people who want model chat, coding agents and document search in one app. It keeps application data and user files locally, while requests to cloud models go to their providers.

Scira is an AI search engine for researching questions across live sources and checking the evidence behind an answer. You can self-host the application, but live research needs internet access and external services.

node-llama-cpp is a library for developers adding local AI to JavaScript and TypeScript applications. It uses llama.cpp to run GGUF models on your hardware and works in Node.js, Bun and Electron.

Jev Chat helps people interpret tense or ambiguous conversations and choose a reply. It estimates the other person's intent and the risk of friction before suggesting wording, though its assessments can be wrong.

Hippo Memory gives coding agents persistent memory across projects, sessions and tool changes. It's for developers who want agents to retain useful lessons and stop recalling facts that have proved wrong.

FlashRank is a Python library that runs reranking models locally on CPU, without Torch or Transformers. It's for developers building search systems or retrieval-augmented generation (RAG) apps who want to reorder retrieved passages by relevance before passing them to an LLM.

EmbedAnything is a local embedding pipeline for developers building semantic search and retrieval-augmented generation (RAG) applications. It turns documents and media into vectors for indexing in a vector database.

taOS is a self-hosted AI agent platform for people who want to run assistants on their own computers and keep their conversations, files, and memory there. It brings agent management and local model access into a browser-based desktop.