The Best text-embeddings-inference Alternatives in 2026

OpenModelZ scales LLM inference on Kubernetes with engines including vLLM, SGLang, and LMDeploy.

Glide provides an open model gateway for developing production generative AI applications.

Ollama runs language models locally and provides tools to work with model files and APIs.

The abso TypeScript SDK calls more than 100 LLM providers through an OpenAI compatible format.

Stakpak runs an agent on a machine to ship code and keep applications running.

Featherless is a serverless AI inference platform for open-weight models with API access to tens of thousands of models.

LiteLLM provides an AI gateway and LLM proxy with model routing, usage tracking, spend controls, and support for many providers.

Bifrost by Maxim AI is an open-source AI gateway for LLMs, MCP and agents with routing, governance, guardrails and observability, supporting 8+ providers and 1000+ models via a drop-in SDK replacement.

LLM Gateway routes, manages, and analyzes requests across more than 40 language-model providers through one API.

Flaq offers one API for accessing AI image, video, 3D, music, and language models.

Guardrails AI provides a framework for building, governing, and deploying reliability controls for generative AI systems.

TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.

Confident AI provides evaluation, observability, red-teaming, and governance tools for testing and monitoring AI systems.

Comet's Opik platform provides AI observability, agent testing, evaluation, and monitoring for developers.

Monkt converts PDFs, Word, PowerPoint, Excel, CSV, webpages, and HTML into Markdown or structured JSON.

PromptLayer supports prompt versioning, LLM evaluations, and production monitoring with traces, logs, and regression sets.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Deepchecks evaluates and monitors AI agents using testing, tracing, dataset scoring, and production observability tools.

Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

Colibri runs mixture-of-experts language models on local hardware, streaming experts from disk with a small C engine.

Candle provides a minimalist Rust framework for machine learning model development and execution tasks.

ONNX-MLIR compiles ONNX models using MLIR compiler infrastructure for model deployment workflows.

DyNet provides tools for building dynamic neural networks and deep learning models.