LlamaIndex is a data framework for your LLM applications
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Updated
Jun 11, 2024 - Python
LlamaIndex is a data framework for your LLM applications
A cloud-native vector database, storage for next generation AI applications
LLM is a very powerful tool. It often performs more than required (hallucinations) and may tend to generate output in a pattern it finds best. We need RAG to harness the power of LLM in a controlled manner. In this work we implement a simple RAG system with Codegemma and an in-memory Vector Database.
Private & local AI personal knowledge management app.
Vector Database with support for late interaction and token level embeddings.
Memory for AI agents
This is an GraphRAG - Knowledge Graph based and out-of-the-box conversational search tool that leverages the vector storage capabilities of TiDB Serverless. It provides a seamless way to embed a powerful question-answering (QA) bot directly on your website, requiring only a simple copy-and-paste of a JavaScript snippet. Demo: https://tidb.ai
Instant low-code REST DATA API platform for databases. Connect any database, run anywhere.
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to integrate, test, and deploy sophisticated AI features to Firebase or Google Cloud.
A NodeJS RAG framework to easily work with LLMs and embeddings
Data Infrastructure for Multimodal AI: Data, models, and orchestration in a unified declarative interface.
Java version of LangChain
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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