The ChatNexus knowledge library
Build better AI agents.
Clear guidance for building AI agents, retrieval-augmented generation (RAG), integrations, and secure automation—without the hype.
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Latest guidance
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Building Agent Memory with PostgreSQL: JSONB, pgvector and the Source of Truth
A practical PostgreSQL design for agent memory that combines structured facts, embeddings, metadata filters, expiry, and clear ownership. Read guide
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Prompt Engineering vs Context Engineering for AI Agents
Prompt wording matters, but agent quality usually improves faster when the surrounding context, tools, permissions, and evidence are designed well. Read guide
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Prompt Injection in RAG: Why Retrieved Text Must Be Treated as Data
Prompt injection is not solved by a clever system prompt. Build safer RAG by separating instructions, evidence, permissions, and side effects. Read guide
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Hybrid Search in PostgreSQL: Combining Keyword and Vector Retrieval
Why good RAG often combines lexical search, vector similarity, metadata filters, and reranking instead of trusting one retrieval method. Read guide
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pgvector for RAG: HNSW, IVFFlat, Filtering and Tenant Isolation
A practical guide to using pgvector in PostgreSQL for RAG, including index choice, metadata filters, recall, and tenant boundaries. Read guide
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Memory Architectures for AI Agents: Short-Term, Long-Term, Episodic and Semantic Memory
A practical way to separate working context, durable facts, past experiences, and business knowledge in an agent memory design. Read guide
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AI Agents for South African Business Support Workflows
Practical considerations for South African AI-agent workflows across web and messaging channels, language, mobile access, privacy, handoffs, and operations. Read guide
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AI Agents for Customer-Service Knowledge Search
A practical guide to building an internal customer-service knowledge agent with governed sources, permission-aware retrieval, citations, feedback, and human escalation. Read guide
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AI Agents for Sales Research and Account Preparation
How to use AI agents for evidence-based account research, meeting briefs, CRM context, source citations, review, privacy, and measurable sales preparation. Read guide
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How to Choose an AI Agent Development Partner
A practical way to compare AI-agent development partners using workflow evidence, ownership, security, maintainability, operating cost, and a bounded discovery. Read guide
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MCP Authentication and Authorization Patterns for AI Agents
How to secure MCP servers with trusted identity, short-lived credentials, per-tool authorization, tenant isolation, delegated access, and misuse testing. Read guide
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When Is a Chatbot Enough—and When Do You Need an AI Agent?
How to choose between a RAG chatbot, guided workflow, and tool-using AI agent based on the outcome, risk, integrations, and operating cost. Read guide
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