Enterprise AI Knowledge Base Grounded Answers. Zero Hallucinations.
Ingest company PDFs, policy manuals, and website documentation. Vector embeddings execute non-blockingly to power accurate, factual voice and chat turns with exact source citations.
Real-Time Vector Context Retrieval
"Can I return an open box item after 20 days?"
Grounded Source Chunk: Items opened within 30 days are eligible for a full refund if accompanied by the original receipt and all packaging components.
"Yes, absolutely! Open box items can be returned within 30 days for a full refund as long as you have the original receipt and components."
Zero-Hallucination Knowledge Architecture
How Lokam eliminates hallucinations and ensures strict adherence to verified company truth.
Multi-Source Ingestion
Drag and drop customer support manuals, FAQs, price sheets, and catalogs. Automatically chunks and vectorizes PDF, DOCX, TXT, CSV, Notion, and Google Docs.
Non-Blocking Voice Embeddings
Knowledge vector lookups execute asynchronously with non-blocking rate limits, returning sub-50ms context during active phone calls without dead air.
Strict Hallucination Defense
Prompts strictly prohibit speculative fabrications. If a requested policy or piece of information is absent from your documents, the agent politely offers human transfer.
Cosine Similarity Thresholding
Every vector match is measured against strict cosine similarity thresholds. Low-confidence matches are rejected, ensuring only relevant content informs the agent.
Continuous Re-Indexing
When you update an SOP in Google Docs, Notion, or upload a new PDF version, Lokam detects modifications and updates vector embeddings in the background.
Tenant-Isolated Collections
All document vectors are strictly partitioned by workspace tenant ID. Customer documents and confidential internal wikis are never shared or co-mingled.
Ground Your AI in Enterprise Truth
Upload your documentation and test RAG answers in the Studio Sandbox.