SharePoint RAG Agent

Uses the entire data stored in a SharePoint site to answer users’ questions about an organization’s policies or processes.

Challenges

Manual Document Search: Employees spend 15-30 minutes, manually opening and scanning through multiple SharePoint documents to find specific information.
Inefficient Knowledge Retrieval: Native SharePoint search returns documents lists rather than precise answers, requiring users to review entire files manually.
High ProductiviHigh Productivity Loss: Knowledge workers waste 20-30% of their workday searching for information instead of applying it to core business activities.
ty Loss
Difficult multi document context: Users miss relevant information scattered across multiple documents, leading to incomplete or incorrect business decisions.
Expensive AI Solutions: Traditional cloud-based AI document search costs $500-5000 per month due to expensive embedding APIs and recurring cloud service fees.
Compliance + Audit Burden: Finding specific policy clauses or regulatory documentation requires extensive manual review, creating compliance risks.

Our AI-Powered Solution

Intelligent Question Answering: Natural language queries with instant, direct answers instead of document lists.
Local Embeddings(cost free): Uses sentence transformers locally with 0$ embedding costs vs traditional cloud embedding services,
Fast similarity search: FAISS vector store delivers answers in ~2 seconds with precise source attribution.
Primary and Backup LLM for Reliability: Uses Groq Llama-3.3-70b as primary and OpenAI fallback when needed
Automated document indexing: Seamlessly processes pdf, docx and txt files with chunking (800 chars) and smart overlap for context preservation.
Production-Ready API System: FastAPI backend with upload + analyze endpoints, secure validations, and frontend integration
Connectivity: Sharepoint can be used as a dedicated service for document storage giving the user a secure platform to store their data, keeping privacy and security in check.

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