RAG Boilerplate AI Agent
RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).
RAG Boilerplate is an open-source ai agent by mburaksayici, written mainly in Python, with 80 GitHub stars. Its code was last updated Nov 18, 2025.
What RAG Boilerplate can touch
- This listing has not been scanned yet.Run shell commandsNot scanned yet
- This listing has not been scanned yet.Run dynamic codeNot scanned yet
- This listing has not been scanned yet.Read or write filesNot scanned yet
- This listing has not been scanned yet.Read environment and secretsNot scanned yet
- This listing has not been scanned yet.Control a web browserNot scanned yet
- Not checked directly. Its own description suggests it does this.Connect to databasesLikely, from its own description
- This listing has not been scanned yet.Read or send messagesNot scanned yet
- This listing has not been scanned yet.Touch money or tradingNot scanned yet
- This listing has not been scanned yet.Connect to the internetNot scanned yet
"Not seen" means our checks did not find it, and the tool may still do it. See the scan policy.
Before you install RAG Boilerplate
RAG Boilerplate has not been scanned by AgenticMart yet. It has no open-source license we can detect, so it can only be scanned once the maintainer claims it. Until then, here is what it can likely access and what to check before you install it.
What it can access
- An AI agent decides its own next steps and calls whatever tools you give it, so its risk depends on the access you grant.
- Based on its description and topics, it likely needs to connect to a database.
Before you install
- Give it a read-only database user unless it must write.
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by mburaksayici on GitHub, 80 stars and 22 forks. Popularity is not proof of safety.
- Last code change was over a year ago (Nov 2025); unmaintained code doesn't get security fixes.
- No open-source license detected: check the repository before using it commercially.
RAG Boilerplate is an open-source ai agent by mburaksayici, written mainly in Python. RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).
At a glance
- Stars
- 80
- Forks
- 22
- Language
- Python
- License
- None found
- Created
- Oct 2025
- Last update
- Nov 18, 2025
- Type
- AI Agent
- Price
- Free
Topics
Questions about RAG Boilerplate
What is RAG Boilerplate?
RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).
Who maintains RAG Boilerplate?
RAG Boilerplate is maintained by mburaksayici on GitHub (mburaksayici/RAG-Boilerplate). AgenticMart lists it from public repository data.
Is RAG Boilerplate safe to use?
RAG Boilerplate has not been scanned by AgenticMart yet. It has no open-source license we can detect, so it can only be scanned once the maintainer claims it. Until then, here is what it can likely access and what to check before you install it.
What license does RAG Boilerplate use?
No standard license was detected. Check the repository before using it commercially.
RAG Boilerplate alternatives
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