RAG System & Vector DB SetupAniket Ghavte
I design and build Retrieval-Augmented Generation (RAG) systems that let your users ask natural-language questions over your own documents, knowledge base, or product data — and get accurate, source-grounded answers.
This is the AI feature that actually saves teams hours of search every day.
What's included:
— Document ingestion pipeline (PDF, CSV, Notion, web pages, etc.)
— Embedding generation + vector store setup (Pinecone, Weaviate, or pgvector)
— LlamaIndex or LangChain retrieval chain with reranking
— Clean API endpoint to query your knowledge base
— Hybrid search (semantic + keyword) for better accuracy
— Source citation in responses
— Optional chat UI (if needed)
FAQs
PDFs, Word docs, Google Docs, Notion pages, Confluence wikis, CSVs, web pages, and plain text. I build custom loaders for less common formats too.
RAG systems are specifically designed to ground answers in your documents. I implement strict citation requirements and confidence-based fallbacks so the model says "I don't know" rather than guessing.
Starting at$400 /wk
Tags
LangChain
LlamaIndex
Python
AI Search
Embeddings
Knowledge Base
Pinecone
RAG
Vector Database
Service provided by
Aniket Ghavte Pune, India
RAG System & Vector DB SetupAniket Ghavte
Starting at$400 /wk
Tags
LangChain
LlamaIndex
Python
AI Search
Embeddings
Knowledge Base
Pinecone
RAG
Vector Database
I design and build Retrieval-Augmented Generation (RAG) systems that let your users ask natural-language questions over your own documents, knowledge base, or product data — and get accurate, source-grounded answers.
This is the AI feature that actually saves teams hours of search every day.
What's included:
— Document ingestion pipeline (PDF, CSV, Notion, web pages, etc.)
— Embedding generation + vector store setup (Pinecone, Weaviate, or pgvector)
— LlamaIndex or LangChain retrieval chain with reranking
— Clean API endpoint to query your knowledge base
— Hybrid search (semantic + keyword) for better accuracy
— Source citation in responses
— Optional chat UI (if needed)
FAQs
PDFs, Word docs, Google Docs, Notion pages, Confluence wikis, CSVs, web pages, and plain text. I build custom loaders for less common formats too.
RAG systems are specifically designed to ground answers in your documents. I implement strict citation requirements and confidence-based fallbacks so the model says "I don't know" rather than guessing.
$400 /wk