Enterprise-Grade Custom RAG SystemsTrashu Vashisth
I build production-ready RAG Systems using ChromaDB to turn your messy data into a high-accuracy internal brain.
Key Features:
Zero Hallucination: I use strict 'Knowledge Grounding' so the AI honestly says 'I don't know' if the answer isn't in your data.
Verifiable Citations: Every response includes direct source links or page references, so you can verify the truth.
Smart Context Retrieval: Using Metadata Filtering and Semantic Search, I ensure the AI only looks at the most relevant files.
Secure Infrastructure: Your sensitive company data stays private, encrypted, and is never used for public model training.
FAQs
No. I implement strict 'Knowledge Grounding.' The AI is programmed to only answer from your provided documents. If the information is missing, it will politely decline to answer
Yes. Every response includes Source Citations (Document name, Page number, or Snippet) so you can track back to the original data.
I use enterprise-grade Vector DBs and encryption. Your data is never used to train public models.
Example work
Trashu's other services
Starting at$500
Duration2 weeks
Tags
FastAPI
LangChain
LlamaIndex
Next.js
OpenAI
Python
Retrieval-Augmented Generation
vector databases
Service provided by
Trashu Vashisth Delhi, India
- 8
- Followers
Enterprise-Grade Custom RAG SystemsTrashu Vashisth
Starting at$500
Duration2 weeks
Tags
FastAPI
LangChain
LlamaIndex
Next.js
OpenAI
Python
Retrieval-Augmented Generation
vector databases
I build production-ready RAG Systems using ChromaDB to turn your messy data into a high-accuracy internal brain.
Key Features:
Zero Hallucination: I use strict 'Knowledge Grounding' so the AI honestly says 'I don't know' if the answer isn't in your data.
Verifiable Citations: Every response includes direct source links or page references, so you can verify the truth.
Smart Context Retrieval: Using Metadata Filtering and Semantic Search, I ensure the AI only looks at the most relevant files.
Secure Infrastructure: Your sensitive company data stays private, encrypted, and is never used for public model training.
FAQs
No. I implement strict 'Knowledge Grounding.' The AI is programmed to only answer from your provided documents. If the information is missing, it will politely decline to answer
Yes. Every response includes Source Citations (Document name, Page number, or Snippet) so you can track back to the original data.
I use enterprise-grade Vector DBs and encryption. Your data is never used to train public models.
Example work
Trashu's other services
$500