Skip to main content
Telara

Knowledge Base / How It Works

How Your Knowledge Base Works

Your data is automatically organized and connected. Telara understands the meaning behind your content and discovers how things relate across all your tools -- so you always get the full picture when you search.

Semantic Search
Connected Search
Contextual Results

Smart Search

Search that understands your data

When you search, Telara finds content by meaning and then automatically expands the results to include related items from across your tools. You get the matching content plus the full context around it.

Your Search"authentication bug in session handling"
Semantic Search

Find content by meaning, not just keywords

auth-middleware.ts0.94
login-flow.md0.89
AUTH-2847 fix session bug0.86
Connected Results

Related items discovered through connections

PR #421 session-fixCode
#eng-auth discussionMessage
AUTH-2847 Jira ticketTicket
Automatically linked
Complete picturematching content + full surrounding context

How It Works

Search with full context

Telara combines two powerful approaches to give you results that are both relevant and rich with surrounding context.

1
Find by meaning

When you search, Telara finds content that matches the meaning behind your query. It understands synonyms, intent, and context -- not just exact keywords.

2
Discover connections

Then it automatically finds related items -- tickets, messages, documents, and code that are connected to your results across all your tools.

3
Get the full picture

The result: not just matching content, but the full context around it. You see how things connect across your entire toolchain.

Example in practice

Search for "authentication bug" and find the relevant code file. Telara then shows the related Jira ticket tracking the issue, the Slack thread where your team discussed it, and the pull request that fixed it -- all connected automatically.

Your Data

What is in your knowledge base

Every piece of content indexed from your integrations is organized by type. Telara automatically creates connections between related items so you can navigate freely between code, tickets, messages, and documents.

Code
Content

Repositories, files, functions, classes

Connections

Import chains, call references, file hierarchy

Tickets
Content

Projects, epics, issues, comments

Connections

Epic hierarchy, cross-references, linked PRs

Messages
Content

Channels, threads, messages

Connections

Conversation flow, reply chains, mentioned items

Documents
Content

Spaces, pages, sections

Connections

Page structure, internal links, version history

Monitoring
Content

Dashboards, alerts, metrics

Connections

Alert-to-service mapping, related dashboards

Incidents
Content

Incidents, runbooks, change requests

Connections

Resolution history, linked alerts, post-mortems

Themes
Content

Auto-discovered topics and themes

Connections

Cross-tool links connecting related content

Connections

How your data connects

Telara automatically discovers and creates connections between your data during indexing. These connections let you navigate from any item to its related context across all your tools.

Hierarchy

Structural organization. Files belong to repositories. Messages belong to channels. Issues belong to projects. Telara preserves the natural hierarchy of your data.

Examples

Repository contains files, channel contains messages, project contains issues

Cross-References

Links between different tools. A ticket mentions a pull request. A message links to a document. A PR references an issue. Telara finds these links automatically.

Examples

Ticket references PR, message links to document, PR references issue

Code Relationships

How your code is structured. A file imports a module. A function calls another function. A class depends on a package. These connections make code exploration easy.

Examples

File imports module, function calls function, class uses dependency

Semantic Similarity

Content with overlapping meaning is linked regardless of where it lives. Code, docs, tickets, and messages about the same topic are connected.

Examples

Code file related to documentation page, issue similar to message thread

Shared Themes

Auto-discovered topics that link content from different tools. Themes like "rate limiting" or "authentication" act as bridges across your entire knowledge base.

Examples

Code, tickets, docs, and messages all linked by a shared theme

Capabilities

What you can do

Four ways to find and explore information in your knowledge base. Each serves a different purpose, and together they give you complete visibility into your data.

Semantic Search

Find content by meaning, not just keywords. Ask questions in natural language and get results ranked by relevance. Telara understands synonyms, intent, and context.

Example

"How does the auth middleware validate tokens?" matches code, docs, and tickets about token validation -- even if they never use the word "middleware".

Connected Search

Start from any item and explore its connections. Drill into related code, tickets, and messages. Follow links to understand how components fit together across your tools.

Example

Start at a repository, browse its files, follow import chains to dependencies, then jump to the tickets that track changes to those dependencies.

Context Enrichment

Get the full picture around any item -- its related items, hierarchy, and cross-references. Automatically pull in surrounding context so you never see a result in isolation.

Example

Look up a code file and see its parent repo, the functions it exports, which other files use it, related tickets, and recent Slack discussions.

Contextual Search

Combines semantic search with connection discovery for the richest possible results. Get content that matches your query plus all the related context around it.

Example

Search "why is login slow?" to find the relevant code, plus a linked performance ticket and a Slack thread with the root cause -- all in one result.

Themes

Auto-discovered themes

Telara automatically identifies topics and themes that appear across your tools. These themes connect content from different sources that share the same underlying topic -- without you needing to manually tag or link anything.

How Themes Work
Telara automatically identifies key topics from your indexed content during the indexing process.
Themes act as bridges between tools -- connecting code, tickets, and discussions about the same topic.
When you search, themes surface hidden connections you would not find through keyword matching alone.
Cross-Tool Discovery

Themes are most powerful when you have multiple integrations connected. They automatically find topical connections across your code, project management, communication, and documentation tools.

The more integrations you connect, the richer the theme layer becomes. A theme like "rate-limiting" might connect a dozen items across four different platforms.

Example: the theme "rate-limiting"
GitHubrate_limiter.goCode
JiraPLATFORM-1892: Implement rate limitingTicket
Slack#eng-backend: "rate limiting design discussion"Message
ConfluenceRate Limiting SpecificationDocument

All of these are linked through the "rate-limiting" theme -- even though they exist in four different platforms and use different terminology.

Recommendations

Best practices

Get the most out of your knowledge base with these practical guidelines.

Connect multiple tools

Your knowledge base becomes exponentially more valuable when it can build connections across tools. Connecting code repositories alongside project management and communication tools creates a rich web of relationships that no single tool can provide.

Use the Explorer to browse visually

The Explorer lets you visually navigate your knowledge base. Start from any item and click through connections to understand how things relate. It is the fastest way to discover unexpected links between projects.

Explore themes for hidden connections

Themes automatically bridge content across tools. When investigating a topic, check its theme connections to find related work. You may discover a Slack discussion that answers a question you were investigating in code.

Follow connections for the full story

When you need more than a code snippet, explore connections to pull in the complete context: the ticket that requested the change, the PR that implemented it, and the discussion that shaped the design.