Llm And Rag Pipelines

LiteLLM is an open‑source gateway that unifies access to 100+ LLMs through a single OpenAI‑compatible API, enabling provider fallback, cost tracking, tag‑based budgeting, guardrails, observability, and on‑prem or cloud deployment with a lightweight SDK.

Alli is an enterprise AI platform that automates workflows by converting proprietary data into actionable insights. It uses Retrieval Augmented Generation, natural‑language queries, real‑time feedback, and a no‑code agent builder for secure, customizable AI solutions across finance, manufacturing, a

RunLLM is an AI platform that automates incident investigations by querying observability tools, correlating telemetry, and delivering root-cause analyses. It generates live runbooks and remediation recommendations to accelerate MTTR and create an auditable history of incidents.

Dify is an open‑source, drag‑and‑drop platform that lets teams build agentic workflows and RAG pipelines without code, supports multiple LLMs and external data sources, offers observability, modular API integrations, and can serve as an MLP server.

Iris.ai unifies enterprise data into secure AI agents, enabling retrieval‑augmented generation workflows. It ingests millions of documents, supplies evaluated answers, and offers real‑time dashboards for governance, cost‑efficient LLM deployment across regulated industries.

EvalsOne is an evaluation platform for developers and researchers to assess LLM prompts, RAG, and agents using rule‑based or LLM‑based methods, human judgment, and customizable evaluators. It supports multiple APIs and integrates with major AI frameworks.

LLMStack is an open‑source platform that lets developers build AI agents and workflows without coding, supports multiple model providers, imports data from web, PDFs, audio, cloud services, and offers a collaborative React UI with granular permissions.

LLMWare AI installs a lightweight client on PCs, providing instant access to 100+ AI models optimized for Intel and Qualcomm hardware. It supports RAG, auto‑tunes weights, runs locally without Wi‑Fi, and offers an admin console for monitoring, scaling, and audit logs.

Ragie is a rag-as-a-service platform that simplifies data ingestion and indexing for developers. With APIs for popular sources, it supports structured and unstructured data, ensuring timely updates and efficient processing for context-rich AI applications.

Lycee AI is an online learning portal that offers structured courses on AI programming, RAG, LLM systems, and audio assistants. It covers generative AI, deployment, finance analysis, and integrates ChatGPT, Midjourney, Mistral, Llama, and Sora.

Morphllmis a high-throughput AI code-editing platform that applies LLM-generated multi-file edits, automated diffs, and merges at 10,500+ tokens/sec via edit_file and MCP/OpenAI-compatible SDKs (TypeScript, Python) for editor, CI, and agent integration. It combines warp-grep/warpsearch semantic co

BenchLLM evaluates language‑model applications via API or CLI, running JSON/YAML test suites with automated, interactive, or custom strategies. It supports OpenAI, LangChain, and any API, detecting regressions, generating reports, and visualizing results for continuous QA.

Unstract is an open‑source, no‑code platform that automates structured data extraction from unstructured documents using LLMs. It features reusable prompts, Human‑in‑the‑Loop verification, and dual‑LLM hallucination mitigation for secure, compliant use across finance, insurance, and healthcare.

Datavise provides generative AI, RAG and LLM integration with AI agents for automated workflows, combined with data architecture, governance and cloud AI infrastructure, BI visualization and compliance support to accelerate model deployment and data-driven decision-making.

DeepSense.ai provides end‑to‑end AI solutions for enterprises, integrating large language models, retrieval‑augmented generation, MLOps, advanced computer‑vision, edge inference, and predictive analytics to deliver scalable, real‑time AI agents, co‑pilots, and maintenance optimization.

WindyFlo is a no‑code AI pipeline platform that lets users drag‑and‑drop modular nodes to build, test, and deploy models. It supports global LLMs, launches with a single API call, and manages infrastructure automatically.

PipeLime uses AI agents to research prospects, craft personalized outreach, and automate follow‑ups. It converts anonymous web traffic into verified leads with decision‑maker tags, schedules qualified meetings, and provides real‑time pipeline and conversion metrics, integrating with CRMs.

LLMOps Space is a global community for LLM practitioners, offering curated content, discussion forums, event recordings, and resources on production deployment, fine‑tuning, observability, and search optimization, plus networking via Discord and newsletters.

Image Pipeline delivers AI image creation and editing using Stable Diffusion, Flux, and custom checkpoints. It supports LoRA, embeddings, adapters, ControlNet for inpainting, and Face Lock/Quick Swap for facial editing, all via a REST API.

Magick is a visual IDE for building AI agents with a node‑based, drag‑and‑drop interface. It supports GPT‑4, Claude, and open‑source models, lets users prototype without code, customize workflows, process documents, and deploy across platforms.

Rlama is a document question-answering tool that supports multiple formats and offers intelligent parsing and local processing. It enables efficient retrieval-augmented generation with features like document chunking and automatic updates, suitable for secure knowledge management.

Mistral.rs is an efficient, versatile tool for high-speed large language model (LLM) inference, offering multi-device support and extensive quantization options for seamless deployment on diverse hardware setups.

GraphRAG by Microsoft is an advanced graph-based system for extracting structured data from unstructured text using large language models. It improves reasoning over private data and offers a user-friendly experience with Azure resources.

MLflow is an open‑source AI engineering platform that tracks LLM and agent execution, monitors performance, cost, and safety, manages prompts, and supports experiment tracking, tuning, and deployment across multiple clouds or on‑premises.

LLMAPI is a unified OpenAI-compatible LLM gateway offering access to 100+ models across providers, centralized API key management, failover routing, performance and cost analytics, and team-oriented key controls to simplify integration and operations.

Agihalo LLM Router for Agent connects multi-agent systems to multiple LLMs with routing logic, per-agent API keys, unified SDK, and autonomous USDC micro-payments, providing real-time usage analytics, cost tracking, and integrations for CI/CD, CRM, and workflows.

VLLM is a high-throughput, memory-efficient inference engine for Large Language Models, enabling faster responses and effective memory management. It supports multi-node configurations for scalability and offers robust documentation for seamless integration into workflows.