Last Updated: April 2026
RAG chatbots and agents from Benian Technologies ground every answer in your documents. PDFs, wikis, product catalogs, and policies are chunked and embedded into Pinecone or Supabase pgvector. Every user query retrieves the most relevant chunks before Claude generates a cited answer. Anything outside the corpus is flagged as unknown instead of hallucinated.
Guardrails include topic filters, refusal templates, and region-aware rules like state-level detection and license gating. Every launch is red-teamed with 50+ adversarial prompts covering jailbreaks, off-policy topics, and ambiguous edge cases. Failures are patched before production deployment, not after.
The same agent deploys to web widgets, WhatsApp, Slack, Intercom, SMS, and voice via VAPI — one brain, every surface. Human handoff preserves the full transcript, citations, and intent summary. A monitoring dashboard tracks quality, escalation rates, and cost per conversation in real time.
RAG Chatbots
& Agents
Context-aware agents grounded in your documents, products, and policies. Every answer is cited, every escalation is clean, and every response is tested against adversarial prompts before launch.
Context-aware agents grounded in your documents, products, and policies. Every answer is cited, every escalation is clean, and every response is tested against adversarial prompts before launch.
What this solution delivers.
PDFs, web pages, internal wikis, and product catalogs chunked and embedded into Pinecone, Supabase pgvector, or Weaviate. Versioned, searchable, and refreshed on a schedule.
From raw docs to production agent in 14–21 business days
Your documentation, product catalog, and internal policies are chunked, embedded, and loaded into a vector store with metadata for filtering.
System prompts, refusal patterns, and region rules are written against your policy team's requirements. Compliance is enforced in code, not trust.
Every launch passes 50+ adversarial prompts covering jailbreaks, off-policy topics, and ambiguous questions. Failures are patched before production.
The agent ships to web, WhatsApp, Slack, and voice surfaces. A dashboard tracks quality, escalation rates, and cost per conversation in real time.
Accurate answers, clean escalations, and compliance you can audit
One agent, every surface you already serve
Chatbots that cite their sources and refuse what they should
