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📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Open Source AI Platform - AI Chat with advanced features that works with every LLM

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Topic Modelling for Humans

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Retrieval and Retrieval-augmented LLMs

AdalFlow: The library to build & auto-optimize LLM applications.

Harness LLMs with Multi-Agent Programming

Accelerated deep learning R&D

MTEB: Massive Text Embedding Benchmark

Learning to Rank in TensorFlow

Deep neural network to extract intelligent information from invoice documents.

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

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, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

Apache Solr open-source search software

allRank is a framework for training learning-to-rank neural models based on PyTorch.

[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)

🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

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🦀 Prevents outdated Rust code suggestions from AI assistants.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.

Unofficial Gaana API

A High-Efficiency System of Large Language Model Based Search Agents