Aeion Search for Agentic RAG Retrieval
LLM agents are only as good as their retrieval. Off-the-shelf RAG stacks — Pinecone + LangChain + custom embedding pipeline + vector cache + reranker — cost $50K-500K/year per agent in infra plus the operational cost of keeping the retrieval index in sync with the source data. Aeion Search's hybrid RRF engine (full-text + pgvector, tenant-scoped) is available as a single API — no separate vector database to sync, no reranker infra to run. Wire it into an agent tool for grounded, cited retrieval. Walkthroughs for customer-support agents, research assistants, code-aware agents.
What Agentic RAG Demands
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Walkthrough — Customer Support AI Agent
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Walkthrough — Research Assistant Agent
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Walkthrough — Code-Aware Engineering Agent
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Agent Tool Surface
The hybrid RRF engine underlies Aeion's own search API (POST /api/v1/search, modes: keyword / semantic / hybrid / auto). Wrap it as a tool for Claude, GPT, Gemini, or any function-calling-capable LLM using the same input shape:
FAQ
LangChain orchestrates retrieval across separate systems (Pinecone + Postgres + S3). Aeion Search IS the retrieval — one system, one auth model, one audit log.
The ingestion pipeline chunks by paragraph with a configurable target size (1000 characters by default). For precision-critical workloads, pass a smaller chunk size at ingest time; for broader context, use a larger one.
Yes via the AI module's Cohere and Voyage rerank provider integrations. Apply per-top-50 after RRF for accuracy-critical workloads.
Yes — relevance > recency > raw context. Stuffing 1M tokens of irrelevant context degrades answer quality vs targeted retrieval of 5-10 relevant chunks.
Not currently supported — Aeion Search's embedding pipeline is text-only today. Image/CLIP-style multi-modal retrieval is on the roadmap, not yet shipped.
Configurable per-query. Aeion truncates citations to fit budget, prioritizing higher-confidence results.
Yes. The audit log captures every retrieval (query, results, ranks, snippets) with retention per your audit policy.
Impossible by construction. Every query automatically inherits the calling agent's tenant scope; per-collection access rules apply automatically.
Aeion Claw enforces "cite-or-decline" — agents refuse to answer when retrieval confidence is below threshold. Configurable per-agent persona.
Stack: $80K-300K/year typical mid-size. Aeion: $0 platform + embedding cost. 90%+ savings + zero sync infra.