Intent Analysis
Accurately interpret complex user queries, reducing ambiguity for better results.
Deploy Accurate, Secure, and Governed Gen AI in semantic search
Our platform delivers superior relevance and faster retrieval for enterprise search, all within a secure, governed framework your organization can finally trust.
Superior result relevance
Instant answer retrieval
Secure enterprise deployment
The Power of Gen AI:
For Enterprise Search
Lyzr enhances search by understanding user intent, using advanced embeddings and RAG for grounded answers, all managed with strict enterprise governance.
RAG Context
Utilize advanced vector embeddings for precise, passage-level matching across all documents.
Answer Grounding
Generate answers grounded in your approved knowledge sources, complete with verifiable citations.
Full Governance
Enforce strict access controls, maintain auditability, and align with all policies.
Quality Metrics
Monitor relevance with robust scoring, feedback loops, and ongoing quality checks.
AI
AI
From customer support to internal RAG knowledge hubs, our enterprise search solution delivers accurate answers where teams need them most.
Customer Support
Increase ticket deflection with instant, accurate answers from your knowledge base.
Internal Knowledge
Enable employees to find internal documents across all connected tools instantly.
Product Discovery
Accelerate product discovery across technical specs and policies with fewer missed results.
Stop wasting time on irrelevant results. Give your teams the trusted, precise answers they need to succeed.
Benefits of Gen AI in
Semantic Search
Find More Relevant Results
Increase match quality and eliminate the frustrating 'no results found' search experiences.
Lower User Search Time
Accelerate time-to-answer for all users, reducing wasted time from context switching.
Radically Fewer Hallucinations
Deliver trusted, grounded answers with verifiable citations from your approved documents.
Completely Secure By Design
Built with RBAC, full encryption, audit logs, and enterprise compliance support.
Enterprise Search
Capabilities
Our end-to-end platform covers the full lifecycle: ingest, index, retrieve, RAG generation, and continuous evaluation.
Vector Embeddings
Create powerful embeddings with hybrid search and rerankers for ultimate relevance.
True RAG Orchestration
Orchestrate grounded answers with source citations and fine-grained prompt controls.
Data Source Connectors
Securely connect to Google Drive, Confluence, SharePoint, S3, and many other sources.
Granular Access Control
Enforce RBAC and ABAC policies with complete tenant isolation and sensitive PII controls.
Quality Monitoring
Track relevance metrics with user feedback loops and automated drift monitoring tools.
How Lyzr's AI Search
Compares to Others
| Feature | Legacy Search Tools | Generic AI Tools | Lyzr |
|---|---|---|---|
| Hybrid Search Method | Keyword Only | Vector search only | Native Hybrid Search |
| RAG Citations | Not Available | Basic RAG, no cites | Built-in with sources |
| Permissions-aware | Separate system | Limited integration | Native permission mapping |
| Hallucination | Not applicable | High risk, manual | Grounding and Guardrails |
| Eval & Analytics | Manual analysis | No built-in tools | Automated Quality Metrics |
| Time-to-Deploy | Lengthy setup | Requires coding | Fast, low-code deployment |
| Embedding Model Choice | No options | Model-dependent | Choose your own model |
| Tenant Isolation | Shared resources | Varies by vendor | Dedicated tenant isolation |
| Advanced Reranking | Basic ranking | No reranking tools | Built-in reranking engine |
| Connector Eco | Manual indexing | Limited options | Rich Connector Library |
Why Lyzr is Built
for Enterprise
Secure By Design
Full RBAC, audit logs, and data isolation for enterprise compliance needs.
Model Flexibility
Choose your preferred LLM, embedding models, and custom deployment options.
Grounded Answers
Ensure all AI-generated answers are grounded in your trusted, private data sources.
Control
Manage performance with evals, monitoring, cost controls, and powerful admin tools.
Trusted by Innovative
Knowledge Teams
Leading B2B SaaS companies rely on Lyzr to power their customer support and knowledge platforms, delivering the trusted, relevant answers that matter.
Lyzr has completely transformed our knowledge base search. Our support team finds accurate answers 70% faster, and the RAG citations give us confidence that every result is grounded in fact. We've seen a measurable increase in ticket deflection and user trust.
KM Lead · Head of Knowledge Management
Zero
Data exfiltration incidents
Deploy Gen AI Search Safely
in 4 Steps
Define Scope
Define your core use case, identify data sources, and set access policies.
Connect and Index
Connect repositories, chunk your documents, and build your vector embeddings.
Configure RAG
Configure your retrieval pipeline, prompts, citations, and business safety rules.
Evaluate and Go-Live
Run evaluations on quality, monitor for drift, iterate, and launch to users.
Answering Your Key Questions On
Secure Enterprise AI Search
What is Gen AI in semantic search and how does it work?
It combines large language models with vector search to understand query intent, not just keywords. This allows it to find conceptually related information, resulting in more relevant and accurate search results across your enterprise data, improving knowledge discovery.
How does Gen AI in semantic search reduce irrelevant results?
By understanding the semantic meaning behind a search query, it moves beyond simple keyword matching. It finds documents that are contextually and conceptually similar, which significantly boosts the relevance of search results and minimizes incorrect or zero-result queries.
How can we deploy Gen AI in semantic search securely?
Secure deployment involves tenant isolation, robust access controls (RBAC/ABAC), data encryption, and comprehensive audit trails. Lyzr's platform is architected for enterprise security, ensuring that your sensitive data remains private and that search results respect all user permissions.
What is RAG and why is it important?
Retrieval-Augmented Generation (RAG) grounds the AI's answers in your verified company data. It first retrieves relevant documents and then uses that information to generate a response, providing citations. This dramatically reduces hallucinations and builds user trust in the AI.
Do you support hybrid keyword and vector search?
Yes, our platform natively supports hybrid search. This approach combines the strength of traditional keyword-based search with modern vector search. This ensures comprehensive results that capture both literal term matches and deeper contextual relevance for superior accuracy.
Which vector database options do you integrate with?
Lyzr is designed for flexibility. We integrate with a wide range of popular vector databases, including Pinecone, Weaviate, Milvus, and more. You can choose the best option for your existing infrastructure or use our managed solution for a streamlined deployment.
How are permissions enforced in the enterprise search results?
Permissions are enforced at the point of data ingestion and retrieval. Our system syncs with your source-of-truth identity providers (like Active Directory) to ensure that users can only see search results for documents and data they are explicitly authorized to access.
How do you measure semantic search quality and relevance?
We use a suite of evaluation metrics, including NDCG and hit rate, to score relevance. The platform also includes tools for user feedback loops and continuous monitoring, allowing you to track performance over time and make data-driven improvements to the search experience.
How do you prevent hallucinations and other unsafe AI outputs?
We minimize hallucinations primarily through Retrieval-Augmented Generation (RAG), which grounds all answers in your data. Additionally, we implement configurable guardrails, safety filters, and prompt controls to ensure that all generated outputs are safe, accurate, and aligned with your policies.
What data sources and types of connectors are supported?
Our platform supports a vast ecosystem of connectors for sources like Confluence, SharePoint, Google Drive, S3, and more. We handle various unstructured data types, including PDFs, DOCX, and web pages, ensuring all your key enterprise knowledge is fully searchable.
Got a use case in mind?
8 weeks from use case to
8 weeks from use case to
agents running in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.