top of page
2 - 4 Weeks

Average time from first call to first prototype

500+

AI services supported on all major cloud platforms

Build This Prototype

Code-Answering Production Chatbot

Practical insights on building code-aware RAG systems with Codersarts — from repository ingestion to file-level, source-linked developer answers.

Category:

Sub-category:

RAG

Developer Tools & Code Intelligence

The Codebase Knowledge Assistant processes repository files, preserves programming-language and file-path metadata, retrieves related implementation context, and generates explanations linked to the




Repository ingestion

Connect and Process a Private Software Repository



The assistant ingests supported repository files while preserving file paths, programming languages, modules, and repository structure.


Generated files, secrets, binaries, dependency folders, and excluded paths can be filtered before indexing.




Code-aware segmentation

Index Code by Functions, Classes, Modules, and Relationships



Standard document chunking is not sufficient for software repositories. The ingestion pipeline can segment code around functions, classes, modules, and semantic boundaries while preserving metadata required for retrieval.


Related imports, interfaces, configuration files, and dependent components can also be considered during retrieval.





Ask architecture and implementation questions

Ask Questions Using Natural Developer Language



Developers can ask where a feature is implemented, how a service works, which files participate in a workflow, or how components depend on each other.


The system retrieves relevant files and code sections before preparing the explanation.


Example questions

  • Where is authentication handled?

  • How does the payment webhook update an order?

  • Which files implement document ingestion?

  • What happens after a user uploads a PDF?

  • Where is retry logic configured?




File-level references

Verify Every Explanation Against the Repository



Answers include references to the source files and relevant code sections. Developers can open the file and inspect the implementation instead of relying on an unsupported generated explanation.



Privacy and repository control

Designed for Private and Customer-Controlled Repositories


The assistant can be deployed using customer-controlled authentication, repository access, storage, and infrastructure. Access can be limited by team, repository, branch, or project based on the deployment requirements.



Business Use Cases:


  • Faster codebase onboarding

  • Reduced time locating implementation details

  • Easier architecture exploration

  • Source-linked developer answers

  • Better use of internal code knowledge

Related Projects

RAG

Code-Answering Production Chatbot

RAG

Search Recruitment Data with an Evidence-Backed AI Assistant

RAG

RAG-Powered Email Response Assistant

RAG

Turn Documents into Source-Grounded Quizzes with AI - Quizentia

Project Gallery

bottom of page