Haystack

Haystack

deepset
TILDE

TILDE

ielab
+
+

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About

Apply the latest NLP technology to your own data with the use of Haystack's pipeline architecture. Implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications. Evaluate components and fine-tune models. Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines. Perform semantic search and retrieve ranked documents according to meaning, not just keywords! Make use of and compare the latest pre-trained transformer-based languages models like OpenAI’s GPT-3, BERT, RoBERTa, DPR, and more. Build semantic search and question-answering applications that can scale to millions of documents. Building blocks for the entire product development cycle such as file converters, indexing functions, models, labeling tools, domain adaptation modules, and REST API.

About

TILDE (Term Independent Likelihood moDEl) is a passage re-ranking and expansion framework built on BERT, designed to enhance retrieval performance by combining sparse term matching with deep contextual representations. The original TILDE model pre-computes term weights across the entire BERT vocabulary, which can lead to large index sizes. To address this, TILDEv2 introduces a more efficient approach by computing term weights only for terms present in expanded passages, resulting in indexes that are 99% smaller than those of the original TILDE. This efficiency is achieved by leveraging TILDE as a passage expansion model, where passages are expanded using top-k terms (e.g., top 200) to enrich their content. It provides scripts for indexing collections, re-ranking BM25 results, and training models using datasets like MS MARCO.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Businesses and developers wanting a solution to evaluate components and fine-tune models to improve their applications

Audience

Academic researchers and developers searching for a tool to implement efficient and scalable passage re-ranking and expansion techniques

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

deepset
Founded: 2018
Germany
haystack.deepset.ai/

Company Information

ielab
United States
github.com/ielab/TILDE/tree/main

Alternatives

Alternatives

ColBERT

ColBERT

Future Data Systems
BERT

BERT

Google
RankLLM

RankLLM

Castorini

Categories

Categories

Integrations

Hugging Face
BERT
DPR
Elasticsearch
Faiss
GPT-3
Milvus
OpenAI
OpenSearch
Pinecone
Pinecone Rerank v0
Python
RoBERTa
SQL
Weaviate

Integrations

Hugging Face
BERT
DPR
Elasticsearch
Faiss
GPT-3
Milvus
OpenAI
OpenSearch
Pinecone
Pinecone Rerank v0
Python
RoBERTa
SQL
Weaviate
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