#rag

Elixir in memory VectorDB build with Rust using rustler! It's small, fast, efficient, simple!

Guarded x402 client for Solana transaction diagnosis, simulation, token risk, and budget-capped live priority fees.

High-speed PDF → Markdown ingestion engine for multimodal RAG pipelines. Extracts structured text + isolated images so downstream chunkers, LlamaIndex, and VLM agents get context that actually works

The complete backend for AI agents in one SQLite file : Documents, vectors, cache, queue, and cron.

Build, test, and deploy intelligent AI agents the Laravel way

Your tasks with 99% accuracy using any LLM (Claude, DeepSeek, Codex, Gemini, Hermes, OpenClaw, Cursor).

Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.

Jurisdiction-aware judicial reasoning platform — a model-agnostic AI engine that produces citation-backed, adversarially-tested draft case analyses for human sign-off. Non-binding by design.

Vector Graph RAG for code & docs with Persistent Chat-Session Memory — BM25 (multi-lang), AST chunking. Hybrid, Compute, Scan, Timeline, Absence, Salience. Graph + temporal knowledge. Privacy Stamps. Source Adapters. Chat summarisation + verbatim copy + free scan. Git indexing. CLI, MCP and Claude Code plugin. Ollama or cloud LLMs. Dashboard.

Create conversational AI solutions with custom data and abilities using ChatBotKit for Go applications.

RAG Skill and MCP for AI agents for codebase indexing and memory

Fullseye — a numpy-native operator library for vision, 3-D and measurement: 1,500+ typed ops spanning 2-D imaging, point clouds/meshes/volumes, optics, tomography, interferometry, acoustics, colour and metrology, plus an evolutionary pipeline designer with honest holdout gating. Ships as an AI/RAG operator corpus.

Auditable RAG from the command line: grounded, cited answers over your own documents, with faithfulness verification and retrieval eval you can gate CI on.

Опис репозиторію не опубліковано.

A private reasoner for your terminal. Direct conversation or grounded multi-agent research, GPU-native and fully local. No API keys, no inference servers.

Pinakes — a portable, agent-first knowledge base. One directory = one KB.

Turn docs into agent-readable knowledge bundles using Open Knowledge Format (OKF)

Save up to 30% of your AI coding tokens. Scubiee turns any codebase into searchable context for your AI coding agent. A local context engine for Cursor, Claude Code, Copilot, Codex, and more: semantic search, code relationships, live sync, MCP integration, and code that never leaves your machine.

Kash is a Go CLI that turns your raw documents (PDFs, Markdown, text files) into a self-contained AI agent packaged in a lightweight Docker container.

Sovereign single-binary knowledge mesh for coding agents (MCP): index, search and serve your notes + code as context. Fair-code (no reselling).

Persistent, queryable memory for AI agents with intake policy, smart recall, context packs, graph recall, and multi-agent scoping

Python SDK for Aetherfy Vectors — a drop-in replacement for qdrant-client with global sub-50ms latency, built-in analytics, workspace scoping, and client-side payload schema validation.

LEAI is a reverse engineering, impact analysis, and documentation engine for Oracle Database, specifically designed to power Retrieval-Augmented Generation (RAG), LLMs, and software engineers maintaining complex enterprise database ecosystems.

The localhost AI Agent Runtime - Chat UI, Tools, RAG, and MCP in one pip install

Опис репозиторію не опубліковано.

RAMR — Retrieval-Augmented Memory Reliability: a contamination-resistant synthetic benchmark for agentic-RAG / memory systems (findings + method)

Опис репозиторію не опубліковано.

A domain-agnostic platform for building federated, AI-powered operational systems.

Опис репозиторію не опубліковано.

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.