Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: [email protected]
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-FranΓ§ois Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Take our 85+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Publication

Building Your Own RAG System: Enhancing Claude with Your Documentation
Latest   Machine Learning

Building Your Own RAG System: Enhancing Claude with Your Documentation

Last Updated on April 16, 2025 by Editorial Team

Author(s): Gergely Szerovay

Originally published on Towards AI.

Connecting Claude Desktop to Your Documentation Through MCP and QdrantBuilding Your Own RAG System: Enhancing Claude with Your DocumentationImage by the author.

The full article is available here for readers without a Medium subscription.

👏 If you enjoy the content, please consider giving it a few claps β€” your support helps others discover this article and encourages me to keep writing.

In the previous article, Getting Better LLM Responses Using AI-Friendly Documentation, we explored how creating AI-friendly documentation can improve the quality of responses from Large Language Models (LLMs). We saw how properly structured Angular documentation helped ChatGPT provide more accurate answers about framework features. Let’s advance our documentation strategy by implementing our own Retrieval-Augmented Generation (RAG) system, powered by Qdrant and designed to work hand-in-hand with Claude Desktop.

Let’s quickly revisit what makes documentation β€œAI-friendly.” Remember those key principles? Clear headers, comprehensive single files, and focused feature-specific content. These organization techniques aren’t just theoretical β€” they make a real difference in how LLMs understand our technical docs.

While the file upload approach we explored previously works reasonably well, it comes with limitations. Most notably, you’re constrained by context window sizes, and you need to manually select which documentation to include in each conversation. This creates a frustrating cycle of starting new conversations whenever you need to reference different documentation sections.

Custom RAG systems… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.

Published via Towards AI

Feedback ↓