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Find answers across your own documents

The AI Knowledge Base That Grounds Answers in Your Own Sources

Turn your own documents and URLs into a searchable AI knowledge base that finds useful passages by meaning, not only exact keywords. Connect it to a Charigent and bring relevant source context into answers when it is available.

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Product proof

See knowledge grounding in action

An illustrated workflow overview beside a real Charigent interface capture. Exact controls and availability vary by plan.

Knowledge grounding illustration
Illustrated overview of the workflow described on this page.
Charigent knowledge base sources
Review the sources that ground a Charigent before deployment.

The problem

Traditional knowledge bases fail your team

🔎

Exact-word search can miss the answer

Search for "refund" and get 400 articles, but none answer the question. Charigent can also find related ideas by meaning.

📂

Knowledge lives in silos

When source material is spread across tools, finding and reusing an approved answer takes unnecessary effort.

🤖

Generic assistants lack your context

A managed knowledge base gives a selected Charigent relevant product and policy material to retrieve from.

How it works

Three clear steps from sources to answers

01

Add your source material

Upload documents, paste URLs, or connect supported sources. Processing time varies with the amount and type of content.

02

Charigent organizes it by meaning

The platform breaks content into searchable passages so relevant context can be found even when a question uses different words.

03

Search or train an agent

Search your knowledge base directly, or attach it to a Charigent that answers questions for your users.

Add supported sources

Bring in supported documents, web pages, and plain text. Charigent prepares that information so it can be searched.

Search by meaning

Find related ideas even when the question does not use the exact same words.

Neural Memory

Find useful information across the documents you added.

Teach a Charigent

Connect saved information to a Charigent so it can use the most helpful passages while answering.

Useful matches first

Charigent places the most likely matches first. Speed depends on how much information you added and whether connected services are healthy.

Reviewable source context

When retrieved context is available, inspect the supporting source passages and compare the response with the material you added.

Upload a real document and see what it finds

Add one source you trust, ask it a hard question, and check the source passages behind the answer.

Explore trial access

FAQ

Frequently asked questions

What is a knowledge base in AI?
An AI knowledge base is a searchable collection of your documents. Charigent prepares the content so it can find ideas by meaning, not only by exact words, and use helpful passages while answering.
What is the best AI knowledge base?
The best AI knowledge base makes sources easy to inspect and gives teams clear controls for uncertain answers. Charigent indexes supported PDFs, documents, and URLs into per-Charigent knowledge bases, then retrieves relevant passages as answer context. Teams should still test coverage and review high-stakes responses.
How is a managed knowledge base different from one-off file chat?
A managed knowledge base gives one Charigent a reusable set of sources. You can update the information, test what it can find, and use it across many conversations instead of attaching the same files each time.

Stop losing knowledge. Start finding answers.

Check current trial access, add a useful sample of your information, and test what Charigent can find before relying on its answers.