OpenSemanticSearch
What is OpenSemanticSearch?
Discover how OpenSemanticSearch can enhance your workflow
Key Capabilities
What makes OpenSemanticSearch powerful
Solr full text search
Deploy indexing and query on Apache Solr and Lucene to deliver full text search over large collections, with control over schema fields analyzers and operational tuning for your content.
Facets and navigation
Use metadata fields and facets to narrow results and explore subsets, improving discovery across mixed corpora without requiring custom per collection UIs.
Entity graph explore
Extend exploration using ecosystem modules that visualize connections between extracted entities, supporting investigative and research workflows over indexed documents.
Ingest and enrich
Build ingestion pipelines that normalize files into an indexable form and add metadata, enabling consistent search behavior across heterogeneous sources and repositories.
Key Features
What makes OpenSemanticSearch stand out
- Lucene and Solr core: Uses Apache Lucene and Solr for indexing and querying
- enabling scalable full text search across large collections you host yourself
- Multi format indexing: Designed for heterogeneous sources and file formats so teams can search PDFs and documents in one interface
- Integrated research tools: Adds discovery monitoring and analytics concepts to support exploration beyond simple keyword lookup
- Faceted navigation: Use metadata and filters to narrow results and explore subsets efficiently within large mixed corpora
- Extensible modules: Ecosystem includes optional components like graph exploration for relationships discovered in extracted entities
- Self hosted control: Keep content and indexes on your infrastructure to meet data residency and access requirements
- Search operators support: Enter powerful queries with operators to refine results without building custom UI logic
- Open source customization: Read change and extend the codebase to fit specialized ingestion rules and domain fields
Use Cases
How OpenSemanticSearch can help you
- Internal knowledge search: Index policies manuals and procedures so staff can retrieve answers quickly using full text and metadata filters
- Research corpus exploration: Build a searchable archive of papers reports and PDFs for discovery workflows and literature review tasks
- News monitoring: Index news and track topics over time to support monitoring and investigation with a searchable history
- Case file investigation: Search across heterogeneous case materials and attachments to locate evidence and related entities faster
- Archive digitization search: Make older document archives searchable by indexing extracted text and metadata from stored files
- Compliance discovery: Search contracts and policies across repositories to find clauses and obligations during audits and reviews
- Data portal search: Provide public or internal search over large collections where transparency and self hosting matter
- Entity relationship exploration: Use graph exploration modules to inspect connections between people organizations and locations extracted from documents
Perfect For
researchers, librarians, knowledge management leads, compliance analysts, investigative teams, IT administrators, data engineers maintaining Solr, organizations needing on premises search
Quick Information
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Frequently Asked Questions
How does OpenSemanticSearch pricing start?
What legal or risk issues should I plan for?
Is this a good technical fit for my team?
Does it provide integrations or an API?
How does it compare to managed enterprise search?
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