Knowledge Base / Indexing

Indexing

Connect your tools and let Telara automatically index your data. Code, tickets, messages, and documents become searchable and connected across your knowledge base.

Data Sources

Continuous Sync

Smart Updates

Pipeline

How indexing works

Indexing follows four simple steps. Connect a platform, choose what to index, and Telara processes your data and makes it searchable automatically.

Connect

Link your tools

Select

Pick what to index

Index

Telara processes your data

Find anything instantly

Integrations

Supported integrations

Telara indexes data from a wide range of platforms. Each integration preserves the structure and relationships from the original source, so your data stays organized.

Code Platforms

GitHub, GitLab, Bitbucket

Repositories, files, and code symbols -- analyzed for function-level understanding. Imports, references, and call relationships are preserved so you can trace how code connects.

Project Management

Jira, Linear, Asana

Tickets, epics, sprints, and comments. Relationships between issues, assignees, and projects are preserved. Linked tickets and parent-child hierarchies stay connected.

Communication

Slack, Discord, Mattermost

Channels, threads, and messages. Conversation context is maintained so searches understand discussion flow, not just isolated messages.

Documentation

Confluence, Notion

Pages, spaces, and documents. Hierarchical structure is preserved -- Telara knows which pages belong to which spaces and how they link together.

Monitoring

Datadog, Grafana, New Relic

Dashboards, alerts, and metric definitions. Operational context that connects your monitoring setup to the services and teams responsible for them.

Incidents

PagerDuty, ServiceNow

Incidents, runbooks, and change requests. Resolution history and escalation paths provide context about how problems were solved before.

Cloud Providers

AWS, Azure, GCP

Resources, configurations, and infrastructure topology. Understand what runs where and how services connect at the infrastructure level.

Configuration

Choose what to index

You control exactly what gets indexed. Select entire integrations or narrow the scope to specific repositories, channels, and projects using filters in the dashboard.

Selection Modes

All resources -- index everything from this integration. New repos, channels, or projects are automatically picked up on the next sync.

Include specific items -- only index the items you explicitly select. Nothing else from this integration is touched.

Exclude specific items -- index everything except the items you select. Useful for blocking sensitive repos or private channels.

Filters

Filters let you narrow the scope within a selection mode. Pick specific repos from GitHub, specific channels from Slack, or specific projects from Jira.

GitHub: filter by repository name

Slack: filter by channel name

Jira: filter by project key

Example

Index only your backend and frontend repos from GitHub, plus the #engineering channel from Slack. Everything else stays unindexed. You can always expand the scope later.

What Telara Discovers

What gets indexed

Telara does more than store your content. It analyzes your data to extract structure, generate summaries, and discover connections -- making everything more searchable.

Code Symbols

Functions, classes, methods, and interfaces are identified with line numbers and language detection. Telara understands code structure across dozens of programming languages.

Examples

handleAuth() at line 42, UserService class, IRepository interface

Themes

Telara automatically identifies topics and themes in your content -- like "authentication", "rate limiting", or "payment processing" -- and tags related content accordingly.

Examples

"authentication", "rate limiting", "CI/CD pipeline", "database migration"

AI-Enhanced Summaries

Auto-generated summaries at the file, directory, and repository level. These summaries make search more effective by providing natural language descriptions of technical content.

Examples

File summary, directory overview, repository-level description

Connections

Code imports, function references, ticket links, and conversation threads. Telara captures how things connect across platforms -- a code file links to the PR that modified it, which links to the Jira ticket it resolves.

Examples

Imports, references, mentions, resolves, parent-of, links-to

Efficiency

Smart incremental sync

Telara tracks what has changed. When you re-index, only updated content is processed. Unchanged files are skipped -- no redundant work.

Change Detection

Every indexed item is tracked. When you re-index, Telara compares what has changed and only processes the differences.

Commit SHAs for code, update timestamps for tickets, message timestamps for conversations

Skip Unchanged Content

When content has not changed since the last index, Telara skips it entirely. This keeps re-indexing fast and predictable.

Only modified files are re-processed

Incremental Connections

Connections between your data are updated incrementally. New links are added, stale ones are removed, and unchanged relationships stay in place.

Your knowledge base evolves with your data without full rebuilds

How it works in practice

If you have 500 files in a repository and only 12 changed since the last index, Telara processes only those 12 files. The other 488 files keep their existing summaries and connections. Re-indexing a large codebase after a few commits takes seconds, not minutes.

Quick Start

Getting started

Set up indexing in five steps. You can have your first data source indexed and searchable in under ten minutes.

Connect an integration

Go to the Integrations page in the Telara dashboard and connect the platform you want to index. Authenticate with OAuth or provide an API key.

Enable indexing on the credential

Once connected, enable the indexing toggle on the credential. This tells Telara that this integration should be included in your knowledge base.

Select which resources to index

Choose all resources, include specific items, or exclude specific items. Use filters to narrow the scope to exactly what you need.

Wait for the initial indexing job

The first index processes all selected content -- this may take a few minutes depending on the volume of data. Progress is visible in the dashboard.

Search your data

Once indexing completes, search via the Explorer in the dashboard, ask Aniya directly, or use your AI tools in Claude Code or Cursor.

Recommendations

Best practices

Practical guidance for getting the most out of your indexed data.

Start with your most-used repos and channels

Index the repositories your team works in daily and the channels where engineering discussions happen. This gives you the highest-value content first. You can always expand later.

Use filters to focus on relevant data

Avoid indexing everything from every integration. Use include or exclude filters to target the repos, projects, and channels that matter most. Focused indexing means faster results and less noise.

Re-index after major changes

When your team creates new repositories, reorganizes projects, or adds new channels, trigger a re-index to pick up the changes. Smart sync makes this fast.

Monitor indexing status in the dashboard

Check the indexing dashboard to verify jobs complete successfully. If an indexing job fails or stalls, the dashboard shows which resources had issues so you can investigate.