Do you need an AI assistant that answers questions accurately based on your company documents, PDFs, manuals, or databases without hallucinating?
I build production-ready Retrieval-Augmented Generation (RAG) systems tailored to your specific knowledge base. Backed by experience optimizing document retrieval at scaleincluding improving AWS Bedrock Knowledge Base performance by +22.9%I build fast, deterministic, and accurate Q&A engines.
️ Whats Included:
- Intelligent Chunking & Ingestion: Ingest PDFs, Markdown, Word docs, CSVs, or web pages.
- Advanced Retrieval & Re-ranking: Hybrid search (vector + keyword search), semantic reranking, and query translation to eliminate irrelevant answers.
- AWS Bedrock / Cloud Vector DBs: Integration with Pinecone, Qdrant, Chroma, or AWS Bedrock Knowledge Base.
- Backend & Streaming UI Support: Asynchronous FastAPI backend delivering token-by-token streaming via SSE or WebSockets.
- Source Citation: Clear references to source documents and page numbers for every answer.
Tech Stack:
- Frameworks: Python, LangChain, LlamaIndex, FastAPI
- Cloud & Search: AWS Bedrock, Amazon Kendra, OpenSearch, Pinecone / Qdrant
- Deployment: Docker, Linux, CI/CD ready