Developers spend 60% of their time reading and understanding code. Traditional tools fall short when it comes to complex, contextual questions.
Grep and IDE search can't understand semantic meaning. Searching for 'user authentication' won't find 'login validation'.
Static docs quickly become stale, missing critical implementation details and recent changes.
Standard LLMs make up plausible-sounding but incorrect answers. They don't know YOUR codebase.
RAGly combines intelligent code parsing, semantic understanding, and retrieval-augmented generation to answer your questions with 100% grounded accuracy.
AST-based parsing extracts meaningful code chunks while preserving semantic boundaries and relationships.
Generate vector embeddings and store in ChromaDB for lightning-fast semantic retrieval.
Semantic search finds the most relevant code chunks for your natural language query.
LLM generates grounded answers using only retrieved context, with citations to source files.
Watch how RAGly answers questions about a real codebase with accurate, cited responses.
How does the authentication middleware work?
The authentication middleware in src/middleware/auth.py uses JWT tokens to validate requests. Here's how it works:
@middleware
async def auth_middleware(request, call_next):
token = request.headers.get("Authorization")
if not token:
raise HTTPException(401, "Missing token")
payload = jwt.decode(token, SECRET_KEY)
request.state.user = payload
return await call_next(request)Sources
See how RAGly stacks up against traditional tools and generic AI assistants.
| Feature | RAGly | Grep/IDE | ChatGPT |
|---|---|---|---|
| Understands Code Context | |||
| Source Citations | |||
| Semantic Search | |||
| Real-time Indexing | |||
| Multi-Language Support | |||
| AST-Based Parsing | |||
| Privacy-First (Local) | |||
| Grounded Answers |
Everything you need to understand and navigate complex codebases efficiently.
Ask questions about your code in plain English. RAGly understands context, intent, and technical nuance.
Every answer includes clickable file paths and line numbers. Verify and explore the actual source.
Connect multiple repositories and query across your entire codebase ecosystem seamlessly.
Intelligent parsing preserves code structure and semantic boundaries for superior retrieval accuracy.
File watcher detects changes and updates the index automatically. Always up-to-date, never stale.
Your code stays on your machine. Use local LLMs for complete air-gapped privacy.
Browse your indexed codebase visually. See relationships, dependencies, and hot spots.
Full conversation history with search. Pick up where you left off across sessions.
SSO integration, audit logs, and team collaboration features for enterprise deployments.
From onboarding to debugging, RAGly handles the hardest code comprehension tasks.
Get new team members up to speed 10x faster. They can ask questions and immediately understand how systems work.
Navigate undocumented legacy codebases with ease. RAGly extracts meaning even from code without comments.
Generate accurate documentation from actual code. Never let docs go stale again.
Trace data flows and understand error paths quickly. Find where bugs might originate.
Built with a modular, extensible architecture that scales from side projects to enterprise codebases.
Leveraging the best tools in the AI and developer tooling ecosystem.
Teams around the world are shipping faster with RAGly.
RAGly cut our onboarding time from 2 weeks to 3 days. New developers can now understand our codebase without constant hand-holding.
Sarah Chen
Engineering Manager, TechCorp
The source citations are a game-changer. I can trust the answers because I can verify them instantly.
Marcus Johnson
Senior Developer, StartupXYZ
We migrated a 10-year-old codebase using RAGly. It understood patterns that even our senior devs had forgotten about.
Elena Rodriguez
Tech Lead, Enterprise Inc
Everything you need to know about RAGly.
Unlike generic AI tools, RAGly is specifically designed for codebase understanding. It indexes YOUR code and provides answers grounded in YOUR actual source files with citations, eliminating hallucinations.
RAGly is privacy-first. All indexing happens locally on your machine. Only when you query, the relevant chunks are sent to the LLM. You can also use local LLMs for complete privacy.
RAGly supports 50+ languages including Python, JavaScript, TypeScript, Java, Go, Rust, C++, Ruby, and more. Our AST-based parsing adapts to each language's syntax.
Initial indexing typically takes 1-5 minutes depending on codebase size. After that, RAGly watches for changes and updates incrementally in real-time.
RAGly works with any Git repository - public or private. It clones locally and indexes without ever exposing your code publicly.
Start free, scale as you grow.
Perfect for individual developers and small projects.
For professional developers and growing teams.
For organizations with advanced security and compliance needs.
Stop wasting time searching through files. Start asking questions and get accurate answers backed by real source code.