Production RAG API supporting 11+ file formats with TF-IDF embeddings, ChromaDB vector search, and smart caching.
Most RAG demos handle PDFs only. Real organizations have knowledge spread across 11+ file formats, and retrieval quality degrades without hybrid search strategies.
Production RAG API with hybrid retrieval combining TF-IDF keyword search and vector similarity search, smart caching for repeated queries, and multi-format document processing.
Pure semantic search misses exact keyword matches that users expect. Combining keyword and vector search with RRF scoring gives the best of both worlds.
Repeated queries to the same document corpus shouldn't re-embed or re-retrieve. Caching dramatically reduces latency and API costs for common queries.
API supporting 11+ file formats with deployed demo on HuggingFace.
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