rag

A self-hosted Docker Compose stack for running local AI services including Ollama, LiteLLM, Whisper, Kokoro, embeddings, and an MCP Gateway.

A local-first backend for AI agents that bundles documents, vector search, cache, queues, and cron jobs into one SQLite file, with optional Postgres support.

A 150M ModernBERT-based token classification model that extracts verbatim evidence spans for RAG and related pipelines, reducing the need for an LLM call to highlight answers.

JetBrains introduces Mellum2, an open-source 12B model built for software engineering workflows, routing, Q&A, RAG, sub-agents, and private deployment.

ForthWrite is a Chrome extension for Gmail that learns a user’s email voice from sent messages and edits. This page explains its retrieval-and-feedback loop in detail, including pgvector-based RAG, edit-distance scoring, a phrasing miner, and the stack behind the product.

A Python package and CLI for checking how closely an AI-generated answer reuses its source text, with support for verbatim matching, subsequence matching, quotation verification, and pipeline gating.

SmolSignal is an AI signal copilot for Flipper Zero files. It explains common capture formats, classifies safety risk, supports local and cloud model backends, and can generate safe consumer IR files.

Open-source SDK and libraries for building local-first, peer-to-peer AI apps. It supports local LLM inference, embeddings, translation, transcription, TTS, OCR, image generation, and an OpenAI-compatible API across desktop and mobile platforms.

A pure-Python LLM inference engine and server with CUDA/HIP/Metal code generation, OpenAI-compatible API support, built-in RAG, and multi-GPU backend support.

Dream Server is an open-source stack that turns a PC, Mac, or Linux machine into a private AI server with local model inference, chat UI, voice, agents, workflows, RAG, and image generation. The page shows setup instructions, platform support, release notes, and a clear positioning for self-hosted use.

AI-powered knowledge base for Terraform modules that supports semantic search, agentic composition, audit checks, and optimization from indexed repositories and conventions.

An open-source Python support agent that uses SynapCores as the agent brain for memory, retrieval, semantic tool routing, and generation. The repo includes a quick start, local Docker setup, example commands, and a traced demo of the agent loop.

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.

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.

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.