Vectara
Vector Databases & Retrieval Infrastructure
Last updated · Compiled from public sources with automated enrichment
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Managed RAG-as-a-service platform with built-in vector search.
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- Category
- Vector Databases & Retrieval Infrastructure
- Founded
- 2020
- Status
- Active
- Open source
- No
- Pricing
- Freemium
- Funding stage
- Series A
- Total raised
- —
- Popularity
- Steady
- Modality
- Text
- GitHub stars
- —
Relationships
1 of 1 confirmed by two independent sources · 1 backed by a published source.
integrates with1
- AnthropicVectara supports Anthropic Claude models for response generation in RAG workflows.
References
Published sources supporting the relationships above.
- Create LLM: integrate your own language model with Vectara
unknown publisher · supports Vectara integrates with Anthropic
- Create an LLM | Vectara Docs
unknown publisher · supports Vectara integrates with Anthropic
- Vectara Agentic Documentation
unknown publisher · supports Vectara integrates with Anthropic
- Bring your own LLM | Vectara Docs
unknown publisher · supports Vectara integrates with Anthropic
- Integration Architecture | vectara/hallucination-leaderboard | DeepWiki
unknown publisher · supports Vectara integrates with Anthropic
News
- Vectara lands $28.5M to supercharge enterprise search - TechCrunchTechCrunch · 6/13/2023
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- OpenSearchOpen-source search and analytics suite, an Elasticsearch fork, with vector search.
- PineconeManaged vector database purpose-built for similarity search at scale.
- QdrantOpen-source vector database written in Rust, focused on performance.
- Redis (vector search)In-memory database with vector search capabilities for RAG use cases.
- SingleStoreDistributed SQL database with native vector search support.
- TileDBUniversal database engine supporting vector search on multi-dimensional data.