rag

AgentReady is an MCP-based service that turns public websites into agent-friendly docs sources with cited answers, llms.txt generation, and live /ask and /mcp endpoints.

An open-source multi-model teaching assistant for UIUC ECE 120, with a Gradio UI, retrieval-augmented search, and evaluation scripts. The repo includes setup instructions, a live Hugging Face demo, and details on how it uses separate models for retrieval, generation, moderation, and ranking.

An open NDJSON specification for AI crawler ingestion and site content graphs, with examples and reference files in the repository.

Open-source local-first AI agent that routes between local and cloud LLMs, learns from escalations, and stores knowledge for future queries. The repo includes a quickstart, setup modes, and a concrete explanation of how it ingests docs and improves over time.

Neurvance provides CC0-licensed AI training data bundles with document-level provenance, EU AI Act Article 10/Annex IV mapping, and an API for bulk download and RAG retrieval.

An experimental RAG lab for constrained environments, with configurable document classification, chunking, retrieval, reranking, and chat context assembly. It includes Open WebUI integration and emphasizes debugging retrieval and context failures.

Open-source TypeScript crawler for AI agents that needs bounded web access, structured extraction, PDF parsing, JavaScript rendering, and MCP support. It outputs Markdown, JSON, and JSONL evidence records with provenance and crawl limits.

A Python framework for local document search that replaces traditional embedding-based RAG with BM25 indexing, Meilisearch, and an agent loop for search, fetch, and citation-backed answers.

A Python/Flask code example that shows how to build a retrieval-augmented generation API with Telnyx embeddings and chat completions. The repo includes setup steps, environment variables, endpoint docs, and sample responses.

Open Executive is an open-source AI system that acts as a virtual executive team, routing requests through a single executive persona backed by eight specialist Claude agents. The repo includes architecture notes, tech stack details, repo layout, and quick-start steps for running the FastAPI backend and Next.js UI.

Open-source local-first contract layer and runtime for canonical data, retrieval, durable execution, and agent-facing AI. The repo includes a quick start, capability boundaries, client/runtime notes, and examples for running locally and inspecting providers.

CacheCore is an agent infrastructure tool that sits between LLM clients and the API to cache exact and near-identical prompts, cutting repeat calls and latency. The page shows OpenAI-compatible integration, support for common agent frameworks, and use cases for RAG and multi-agent workflows.

Community edition of Merlin, a local-first deduplication tool for LLM context and RAG pipelines. The repo includes quick-start install steps, MCP and editor integrations, savings claims, and rollback guidance.

A side-by-side comparison of 15 AI agent frameworks, including LangGraph, CrewAI, AutoGen, Pydantic AI, OpenAI Agents SDK, Mastra, Vercel AI SDK, LangChain, LlamaIndex, Haystack, Dify, Flowise, n8n, Semantic Kernel, and smolagents. The page highlights use-case fit, control style, language support, GitHub stars, and fra

A zero-budget research search engine and RAG pipeline for 5,600 arXiv papers, built with free Colab processing, Qdrant free tier, and hybrid dense+sparse retrieval.

Lens AI is an embedded knowledge assistant that connects docs, help content, and published sites to provide consistent AI answers across websites, internal tools, and support surfaces.

A blog post about verifiable RAG that benchmarks open-source NLI verifiers against Claude on RAGTruth and describes a Python library for sentence-level citation and claim verification.

A GitHub example that audits LangChain’s RAG quickstart with retrieval-quality metrics, flags off-topic and out-of-distribution queries, and surfaces ranking and calibration issues with charts and results files.

A GitHub repository for a latency-separated AI memory retrieval and RAG system. The README describes fetch, compute, and ANN search stages, includes benchmark ranges, and exposes a public test endpoint.