AI Services / Data, Memory & Knowledge

Give Your AI a Long-Term Memory

Persistent knowledge graphs, enterprise RAG pipelines, and semantic search that let AI agents remember everything, across every session, user, and system.

10M+
documents
< 50ms
retrieval
95%
answer accuracy
100+
data sources
KNOWLEDGE GRAPH7 INTEGRATIONS
Slack
Notion
GitHub
Salesforce
Confluence
Email
Jira
COMPANYKNOWLEDGE
Query
What is our Q3 pricing strategy?
Answer, sourced from Notion, Salesforce
Q3 pricing maintains current tiers with a 12% enterprise uplift effective Oct 1. Source: Product pricing doc (updated Sep 14).

Platform Capabilities

Knowledge That Works for Everyone

Multi-Source Ingestion

Connect to Slack, Notion, Confluence, Google Drive, SharePoint, GitHub, email, and 100+ other sources via native integrations.

Hybrid Search

Combines dense vector search (semantic) with sparse keyword search (BM25) for maximum recall and precision.

Citation & Traceability

Every AI answer cites the source documents. Users can verify information and drill down to the original context.

Incremental Indexing

New documents are indexed within minutes of creation. Your AI knowledge base is always up to date.

Access-Controlled Retrieval

AI retrieves only documents the querying user is authorized to access. SSO-integrated, policy-aware.

Multi-Modal Knowledge

Ingest and search across text, PDFs, images, spreadsheets, presentations, and code, all in one unified index.

How It Works

From Data Chaos to Intelligent Knowledge

01

Data Source Mapping

We map all your company data sources, which systems hold what information, access patterns, and data quality assessment.

Source inventory
Data quality assessment
Access policy mapping
Priority ranking
02

Pipeline Construction

We build ingestion pipelines that extract, chunk, embed, and index your data, with automatic refresh schedules.

Connector configuration
Chunking strategy design
Embedding model selection
Index architecture
03

RAG & Search Layer

We build the retrieval layer, the query interface, ranking logic, re-ranking, and citation extraction.

Query pipeline design
Hybrid search tuning
Re-ranking models
Citation extraction
04

Access Controls & Governance

We wire up your existing identity provider to enforce document-level access controls on every retrieval.

SSO integration
Document ACL mapping
Audit logging
Compliance validation

Before vs. After

Generic LLM vs. Enterprise RAG

DimensionGeneric LLMWith Solnix RAG
Answer accuracy35–50% for generic LLM92–95% with enterprise RAG
Data coverageOnly public infoAll internal company data
Source attributionHallucinated sourcesVerified citations, always
Data freshnessTraining cutoff (months old)< 5 minutes from creation
Access controlAll-or-nothingDocument-level, identity-aware
Setup timeMonths of custom devDays with managed pipeline

Technology

Best-in-Class Knowledge Infrastructure

Vector Stores
PineconeWeaviateQdrantpgvectorChroma
Embedding Models
text-embedding-3-largeCohere Embed v3BGE-M3Custom fine-tuned
Ingestion
LlamaIndexUnstructuredApache TikaCustom crawlers
Search
ElasticsearchTypesenseOpenSearch
Orchestration
LangChainDSPyCustom RAG framework

FAQ

Common Questions

Get Started

Give your AI perfect memory across all your company knowledge

Stop answering questions from scratch. Let your AI know everything your company knows.

Talk to usRequest a demo