Enterprise Search

    AI-Powered Enterprise Search Development

    Search across documents, conversations, code, and knowledge bases in one place. Get precise, source-cited answers instead of digging through dozens of tools.

    Trusted by the world's most innovative teams

    Insureco
    Binddesk
    Infosys
    Moglix

    What It Looks Like

    Enterprise Search in Action

    One search bar that finds answers across policies, conversations, code, and customer data.

    Enterprise Search
    What is our data retention policy?

    Answer

    Data is retained for 7 years per regulatory requirements. Customer data can be deleted upon request within 30 days.

    Sources

    Data Retention Policy v2.1

    SharePoint / Legal

    Policy update discussion

    Slack / #compliance

    GDPR Implementation Guide

    Confluence / IT

    Policy Search

    Find compliance and policy documents instantly.

    Enterprise Search
    Why did we choose our current payment gateway?

    Answer

    It was selected for better API documentation, faster integration timeline, and native support for subscription billing.

    Sources

    Payment gateway evaluation

    Slack / #engineering

    Vendor Comparison - Q2 2025

    Google Drive / Finance

    CTO decision email

    Gmail / Jun 2025

    Conversation Search

    Find past decisions from Slack, email, and meetings.

    Enterprise Search
    How is rate limiting configured?

    Answer

    Rate limiting uses a sliding window algorithm set at 100 req/min per API key, configured in the gateway service.

    Sources

    rate-limiter.config.ts

    GitHub / api-gateway

    API Rate Limiting Guide

    Confluence / Engineering

    gateway-middleware.ts

    GitHub / api-gateway

    Code Search

    Find code, configs, and technical documentation.

    Enterprise Search
    What issues has Acme Corp reported?

    Answer

    Acme Corp has reported 3 issues in the last 90 days: SSO login failures, API timeout on bulk exports, and a billing discrepancy.

    Sources

    Acme Corp - Account Record

    Salesforce / Enterprise

    Acme support thread

    Zendesk / #4821

    Acme QBR Notes - Q1

    Google Drive / CS

    Customer Search

    Find account details, tickets, and interaction history.

    Data Sources

    Connect Every Tool Your Team Uses

    One search across all your platforms. Pre-built connectors for the tools your organization already depends on.

    SharePoint

    SharePoint

    Confluence

    Confluence

    Google Drive

    Google Drive

    Slack

    Slack

    Notion

    Notion

    GitHub

    GitHub

    Microsoft Teams

    Microsoft Teams

    Gmail

    Gmail

    Salesforce

    Salesforce

    Jira

    Jira

    Zendesk

    Zendesk

    HubSpot

    HubSpot

    Search Capabilities

    Enterprise Search Capabilities

    AI-powered search systems that connect every data source in your organization, so your team finds the right information on the first try.

    Cross-Platform Knowledge Search

    Search across SharePoint, Confluence, Google Drive, Notion, Slack, email, and internal databases from a single interface. No more switching between tools.

    Document Q&A

    Ask questions in plain English and get direct answers extracted from your documents, complete with source citations and links to the original files.

    Code Search and Explanation

    Search across code repositories, internal documentation, and READMEs. Get explanations of code logic and find relevant examples in seconds.

    Policy and Compliance Lookup

    Instantly find relevant policies, compliance requirements, and regulatory guidance. Reduce risk by making sure your team always has the latest information.

    Product Information Retrieval

    Search product specs, release notes, support articles, and internal wikis to answer customer questions and support product teams faster.

    Customer Data Search

    Find customer interactions, support tickets, account notes, and CRM records in one place. Give your team a complete view of every customer relationship.

    Research and Report Discovery

    Surface research papers, market reports, internal analyses, and past presentations. Stop recreating work that already exists somewhere in your organization.

    Email and Communication Search

    Search across email threads, Slack conversations, Teams messages, and meeting notes to find decisions, context, and institutional knowledge.

    Your Team Deserves Better Than Keyword Search

    An AI-powered search system that understands what your team is looking for and finds it across every data source in your organization.

    Why Enterprise Search

    The Business Impact of Finding Information Faster

    Knowledge workers spend a significant portion of their time searching for information. AI-powered enterprise search gives that time back and improves the quality of every decision.

    Find Information in Seconds, Not Hours
    Semantic search understands what your team is actually looking for. No more guessing the right keywords or digging through folder hierarchies to find what you need.
    Reduce Duplicated Work
    When your team can find existing research, analyses, and documents instantly, they stop recreating work that someone else already completed.
    Break Down Knowledge Silos
    Connect information trapped in different departments, tools, and platforms. One search surfaces relevant results from every corner of your organization.
    Onboard Employees Faster
    New hires find answers to their questions immediately instead of waiting for colleagues to respond. Cut onboarding time and reduce the burden on senior staff.
    Preserve Institutional Knowledge
    When employees leave, their knowledge stays searchable. Capture and index the information locked in emails, documents, and conversations before it walks out the door.
    Improve Decision Quality
    Better access to information leads to better decisions. Your team makes choices based on complete data, not just what they happened to remember or find first.

    Let Us Build Search That Understands Your Organization

    Custom enterprise search built for teams handling sensitive data across finance, healthcare, and legal.

    How We Work

    Our Enterprise Search Development Process

    A proven methodology for building AI-powered search systems that connect all your data sources and deliver accurate results from day one.

    1. Data Source Inventory

    We catalog every data source in your organization, assess content quality and volume, map access permissions, and define the scope of your search system.

    2. Search Architecture Design

    We design the search infrastructure, select embedding models, plan the indexing strategy, and define ranking and filtering logic based on your team's query patterns.

    3. Indexing and Embedding Pipeline

    We build automated pipelines that connect to your data sources, extract and chunk content, generate embeddings, and keep your search index up to date in real time.

    4. Search UI and API Development

    We build the search interface and API layer, including natural language query processing, result ranking, source attribution, and integration with your existing tools.

    5. Deployment and Tuning

    We deploy to your infrastructure, tune relevance and ranking based on real user queries, set up monitoring, and train your team to manage the system independently.

    Technology Stack

    Enterprise Search Tools and Infrastructure

    We use proven frameworks and infrastructure to build search systems that are accurate, fast, and ready for production workloads.

    Elasticsearch
    Elasticsearch
    Pinecone
    Pinecone
    Weaviate
    Weaviate
    Search and Retrieval
    ElasticsearchPineconeWeaviateQdrantpgvector

    Purpose-built search engines and vector databases that handle semantic queries at scale with sub-100ms latency and advanced filtering.

    OpenAI Embeddings
    OpenAI Embeddings
    Cohere Embed
    Cohere Embed
    Embedding Models
    OpenAI EmbeddingsCohere EmbedSentence TransformersVoyage AI

    State-of-the-art embedding models that convert your documents into vector representations for accurate semantic search across all content types.

    OpenAI
    OpenAI
    Anthropic Claude
    Anthropic Claude
    Google Gemini
    Google Gemini
    LLM Providers
    OpenAIAnthropic Claude Google GeminiMistral

    Large language models that power natural language understanding, answer generation, and query interpretation for your search system.

    Connectors
    SharePointConfluenceGoogle DriveSlackNotion

    Pre-built connectors that pull content from your existing tools and platforms, keeping your search index current as data changes.

    LlamaIndex
    LlamaIndex
    LangChain
    LangChain
    Haystack
    Haystack
    Frameworks
    LlamaIndex LangChain HaystackVercel AI SDK

    Orchestration frameworks that handle retrieval, re-ranking, prompt construction, and response generation in a single pipeline.

    FAQ

    Frequently Asked Questions

    Common questions about AI-powered enterprise search, implementation, and best practices.

    Smarter Search. Faster Answers.
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