Sumanth077/ai-engineering-toolkit resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3378 stars · 611 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated list of 100+ libraries and frameworks for AI engineers building with large language models, covering vector databases, orchestration, RAG, agent frameworks, inference, and LLM safety. It is a reference catalog rather than runnable software.

Use cases

• find libraries for building llm apps
• compare vector databases for rag
• discover agent frameworks
• find open-source llm inference tools
• curated list of ai engineering tools
• learn what tools ai engineers use

When to choose

• you want a quick overview of the LLM tooling ecosystem
• you are evaluating options for RAG, agents, or vector search
• you need a starting point for building an LLM-powered application

When to avoid

• you need runnable code or a working implementation
• you need in-depth tutorials rather than a link catalog
• you need up-to-date benchmarking of the listed tools

Facets

learning-resource · maturity active

developer-tools rag agent-framework llm-inference vector-database large-language-models artificial-intelligence developer-tools awesome-lists python cross-platform curated-list llm-tooling ai-engineering awesome-list ai-agents retrieval-augmented-generation

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