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SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

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

Are you frustrated with vector database retrieval accuracy for long and complex documents? Vector-based RAG retrieves by semantic similarity. But similarity ≠ relevance — what retrieval actually needs is relevance, and relevance requires reasoning.

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.

Note 1: For Windows, please install torch and torchvision first by following the official instructions here On the pytorch website, be sure to select the right CUDA version you have. If you intend to run on CPU mode only, select CUDA = None.

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​.

Search code and documents in plain English. Runs locally.

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models.

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

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.

Retrieval and Retrieval-augmented LLMs

Each implementation: - ✅ Uses only NumPy (no deep learning frameworks) for educational clarity - ✅ Includes synthetic/bootstrapped data for immediate execution - ✅ Provides extensive visualizations and explanations - ✅ Demonstrates core concepts from each paper - ✅ Runs in…

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.

This compendium reviews significant published research contributions and industrial engineering practices in leveraging Generative AI and LLMs for developing search, recommender, personalization, and question-answering systems.