Stacks / 7 workflow stages

Build an Internal Knowledge Assistant

Ingest documents, build retrieval, produce grounded answers, and test whether the system actually retrieves the right evidence.

Best for

Teams building an internal assistant over company documents, policies, research, product knowledge, or other private information.

Outcome

A grounded knowledge workflow with ingestion, retrieval/orchestration, structured answers, evaluation, and observability.

Not for

A public-web research agent whose primary job is browsing and discovering new external information.

Implementation noteThe current Index does not include a strong general-purpose vector database resource. Keep the organization’s approved database/vector layer outside this Stack rather than implying LlamaIndex replaces persistence.

Use this as a decision framework, not a mandatory shopping list. Swap or skip layers based on your existing stack, constraints, and risk profile.

01

1. Prepare content

Jina AI Reader

Convert web and document-like content into cleaner text that can be indexed and reasoned over.

AlternativesFirecrawl

02

2. Build retrieval

LlamaIndex

Use a framework centered on data ingestion, indexing, retrieval, and knowledge-grounded applications.

AlternativesLangGraph

03

3. Structure outputs

Instructor

Constrain important answers into predictable structured outputs when downstream systems need fields rather than prose.

AlternativesPydantic AI

04

4. Add workflow control

LangGraph

Use stateful orchestration when retrieval needs routing, retries, multiple sources, or tool use.

AlternativesDify

05

5. Evaluate retrieval

Ragas

Measure retrieval and answer quality rather than assuming a RAG system is grounded because it returns citations.

AlternativesDeepEval, Braintrust

06

6. Observe production

Langfuse

Trace retrieval, model calls, and failures after deployment so weak answers can be diagnosed.

AlternativesArize Phoenix, LangSmith

07

7. Review security

OWASP Top 10 for LLM Applications

Check prompt injection, data leakage, access-control, and other risks that matter when an assistant touches internal information.

AlternativesAnthropic Security Guidance

Need this workflow built and running, not just linked? EE Solutions implements agentic stacks like this one. EE Solutions is a senior technology team for private capital firms and their portfolio companies.

Talk to EE Solutions ↗