ContextIQ

Every great AI assistant starts with one challenge: it needs knowledge before it can answer questions.Today I built the document loading pipeline for ContextIQ. Instead of manually copying text into the AI, the system can now automatically read enterprise documents and prepare them for processing. This is the first step in transforming static PDFs into an intelligent knowledge base.Although it might seem simple, this stage is incredibly important. A reliable document loader ensures that the AI receives clean, structured information, laying the foundation for accurate retrieval and trustworthy responses later in the pipeline.Next up, I’ll be implementing smart chunking and embeddings so ContextIQ can understand and retrieve the most relevant information from large document collections.

Meet ContextIQ: My first attempt at building an Enterprise-Grade RAG application. 🤖 From Portkey LLM Gateways to Logfire observability, I’m implementing the same tools used by professional AI engineers to ensure this system is robust, scalable, and secure. Stay tuned for the next update! 🛠️ #BuildInPublic #ContextIQ #HackathonLife